Attention! Your ePaper is waiting for publication!
By publishing your document, the content will be optimally indexed by Google via AI and sorted into the right category for over 500 million ePaper readers on YUMPU.
This will ensure high visibility and many readers!
![illustration](https://assets.yumpu.com/release/qsrPmVtsvVmMI6F/v5/img/account/document_privacy_modal/step1.png)
Your ePaper is now published and live on YUMPU!
You can find your publication here:
Share your interactive ePaper on all platforms and on your website with our embed function
![illustration](https://assets.yumpu.com/release/qsrPmVtsvVmMI6F/v5/img/account/document_privacy_modal/step2.png)
Principles of Modern Radar - Volume 2 1891121537
Principles of Modern Radar - Volume 2 1891121537
Principles of Modern Radar - Volume 2 1891121537
- No tags were found...
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
6.4 Sampling Requirements and Resolution 225TABLE 6-2Typical Ranges <strong>of</strong> Key Spotlight SAR Collection ParametersFrequencyGrazing angleSquint angleIntegration timeResolutionScene sizeStand<strong>of</strong>fHigh: X, Ku, and Ka bands (fine resolution)Low: UHF, VHF, and L bands (coarse resolution, FOPEN)20 ◦ –60 ◦±45 ◦ ,(0 ◦ is broadside)
6.4 Sampling Requirements and Resolution 225TABLE 6-2Typical Ranges <strong>of</strong> Key Spotlight SAR Collection ParametersFrequencyGrazing angleSquint angleIntegration timeResolutionScene sizeStand<strong>of</strong>fHigh: X, Ku, and Ka bands (fine resolution)Low: UHF, VHF, and L bands (coarse resolution, FOPEN)20 ◦ –60 ◦±45 ◦ ,(0 ◦ is broadside)
226 CHAPTER 6 Spotlight Synthetic Aperture <strong>Radar</strong>by examining the sampling requirements and the factors that affect the image size andresolution. These relationships are explained using standard one-dimensional signal processingconcepts because the range and cross-range properties <strong>of</strong> SAR are essentiallyseparable.6.4.1 Temporal Sampling Requirements and Range ResolutionTemporal (or fast-time) sampling and resolution works the same for SAR as it does forany other radar. See, for example, Chapter 2 <strong>of</strong> this book as well as Chapter 20 <strong>of</strong> Basic<strong>Principles</strong>. Myriad waveforms are used within the radar discipline, but one is the canonicalSAR waveform: the linearly swept frequency-modulated chirp, or LFM for short. TheLFM is detailed in Chapter 2, but we review the important features here. The LFM chirp isswept in frequency from f min to f max , meaning that its bandwidth is B c = f max − f min . Theamplitude <strong>of</strong> the pulse is kept constant throughout its sweep. As we see from the Fouriertransform relation (6.7) between the rect and sinc functions, increasing the bandwidth <strong>of</strong>the transmitted pulse results in finer range resolution.The sweep rate is constant and equal to K c = B c /τ c where τ c is the pulse duration.The choice <strong>of</strong> τ c is <strong>of</strong>ten determined by the transmit power capacity <strong>of</strong> the radar. The LFMpulse compression gain is equal to its time–bandwidth product B c τ c , so longer transmitpulses yield better SNR. The longer pulses imply a higher duty factor D = τ c /T for afixed pulse repetition interval T . For a fixed amplitude, increasing τ c implies increasing theaverage power output <strong>of</strong> the radar. We will see later that the imaging geometry also placesconstraints on the coupling between the pulse repetition frequency (PRF) and τ c .Itistheradar designer’s role to find a waveform that satisfies these conditions while achieving thedesired image quality.6.4.1.1 Deramp on ReceiveThe RF bandwidth necessary to achieve fine range resolution has historically been beyondthe ability <strong>of</strong> analog-to-digital converters (ADCs). For example, 0.3 m range resolutionimplies an RF bandwidth <strong>of</strong> at least 500 MHz, since the range resolution is given byδx 3dB = c/2B c . While technology is always improving, ADCs capable <strong>of</strong> high-bandwidthdigitization with sufficient bit depth may be difficult to obtain or prohibitively expensive.The concept <strong>of</strong> dechirp-on-receive, more commonly called deramp or stretch processing,provides a workaround if the transmitted signal is an LFM chirp with a largetime–bandwidth product [3]. Deramp reception permits the use <strong>of</strong> an ADC rate that issignificantly lower than that implied by the transmitted bandwidth and the ultimate rangeresolution in the slant plane. A deramp receiver multiplies (or mixes) the incoming reflectionwith a delayed version <strong>of</strong> the transmitted chirp, and this operation effectivelypulse compresses and takes the Fourier transform <strong>of</strong> the received signal. For a fixed ADCrate, sampling density in the frequency domain corresponds to signal length in the timedomain. Thus, the sampling requirements <strong>of</strong> the deramp receiver are determined by theswath depth, not the signal bandwidth.The copy <strong>of</strong> the transmitted LFM used for mixing in the receiver has a delay correspondingto some reference range r 0 , usually the scene center. After mixing, the reflectionfrom a particular range r becomes a tone whose frequency is proportional to the distancefrom scene center and whose amplitude and phase are determined by the complex-valuedreflectivity f (r) at that point on the ground. The sampling rate <strong>of</strong> the ADC needs only to
- Page 2:
Principles of Modern Radar
- Page 5 and 6:
Published by SciTech Publishing, an
- Page 8:
Brief ContentsPreface xvPublisher A
- Page 11 and 12:
xContents3.6 Adaptive MIMO Radar 10
- Page 13 and 14:
xiiContents9.3 Adaptive Jammer Canc
- Page 15 and 16:
xivContents15.3 Multisensor Trackin
- Page 17 and 18:
xviPrefacehas always been the unlik
- Page 19 and 20:
Publisher AcknowledgmentsTechnical
- Page 21 and 22:
Editors and ContributorsVolume Edit
- Page 23 and 24:
xxiiEditors and ContributorsDr. Lis
- Page 25 and 26:
xxivEditors and ContributorsMr. Ara
- Page 27 and 28:
2 CHAPTER 1 Overview: Advanced Tech
- Page 30 and 31:
1.3 Radar and System Topologies 5FI
- Page 32 and 33:
1.4 Topics in Advanced Techniques 7
- Page 34 and 35:
1.4 Topics in Advanced Techniques 9
- Page 36 and 37:
1.4 Topics in Advanced Techniques 1
- Page 38 and 39:
1.4 Topics in Advanced Techniques 1
- Page 40 and 41:
1.6 References 15TABLE 1-1Summary o
- Page 42:
PART IWaveforms and SpectrumCHAPTER
- Page 45 and 46:
20 CHAPTER 2 Advanced Pulse Compres
- Page 47 and 48:
22 CHAPTER 2 Advanced Pulse Compres
- Page 49 and 50:
24 CHAPTER 2 Advanced Pulse Compres
- Page 51 and 52:
26 CHAPTER 2 Advanced Pulse Compres
- Page 53:
28 CHAPTER 2 Advanced Pulse Compres
- Page 60 and 61:
2.2 Stretch Processing 35is applied
- Page 62:
2.2 Stretch Processing 37TABLE 2-1
- Page 67 and 68:
42 CHAPTER 2 Advanced Pulse Compres
- Page 69:
44 CHAPTER 2 Advanced Pulse Compres
- Page 73:
48 CHAPTER 2 Advanced Pulse Compres
- Page 77 and 78:
52 CHAPTER 2 Advanced Pulse Compres
- Page 79 and 80:
54 CHAPTER 2 Advanced Pulse Compres
- Page 81 and 82:
56 CHAPTER 2 Advanced Pulse Compres
- Page 86 and 87:
2.5 Stepped Frequency Waveforms 61T
- Page 88:
2.5 Stepped Frequency Waveforms 63w
- Page 94 and 95:
2.5 Stepped Frequency Waveforms 69I
- Page 97:
72 CHAPTER 2 Advanced Pulse Compres
- Page 101:
76 CHAPTER 2 Advanced Pulse Compres
- Page 106 and 107:
2.9 References 812.7.4 SummaryWhile
- Page 108 and 109:
2.9 References 83[27] Taylor, Jr.,
- Page 110:
2.10 Problems 85shift across the pu
- Page 113:
88 CHAPTER 3 Optimal and Adaptive M
- Page 116 and 117:
3.2 Optimum MIMO Waveform Design fo
- Page 119 and 120:
94 CHAPTER 3 Optimal and Adaptive M
- Page 121 and 122:
96 CHAPTER 3 Optimal and Adaptive M
- Page 123 and 124:
98 CHAPTER 3 Optimal and Adaptive M
- Page 126 and 127:
3.4 Optimum MIMO Design for Target
- Page 128 and 129:
3.4 Optimum MIMO Design for Target
- Page 130:
3.5 Constrained Optimum MIMO Radar
- Page 133 and 134:
108 CHAPTER 3 Optimal and Adaptive
- Page 136:
3.6 Adaptive MIMO Radar 111SINR Los
- Page 140 and 141:
3.10 Problems 115[22] W. Y. Hsiang,
- Page 142:
3.10 Problems 1179. A constrained o
- Page 145:
120 CHAPTER 4 MIMO Radarperformance
- Page 148:
4.3 The MIMO Virtual Array 123separ
- Page 152 and 153:
4.4 MIMO Radar Signal Processing 12
- Page 154 and 155:
4.4 MIMO Radar Signal Processing 12
- Page 156 and 157:
4.4 MIMO Radar Signal Processing 13
- Page 159 and 160:
134 CHAPTER 4 MIMO RadarFIGURE 4-7T
- Page 161 and 162:
136 CHAPTER 4 MIMO Radar4.5.2 MIMO
- Page 163 and 164:
138 CHAPTER 4 MIMO Radarnamely, R
- Page 165 and 166:
140 CHAPTER 4 MIMO RadarTABLE 4-2 P
- Page 167 and 168:
142 CHAPTER 4 MIMO RadarSINR Loss (
- Page 169 and 170:
144 CHAPTER 4 MIMO Radar[10] H. V.
- Page 172 and 173:
Radar Applications of SparseReconst
- Page 174 and 175:
5.1 Introduction 149δ = M/N, the u
- Page 177 and 178:
152 CHAPTER 5 Radar Applications of
- Page 179 and 180:
154 CHAPTER 5 Radar Applications of
- Page 181 and 182:
156 CHAPTER 5 Radar Applications of
- Page 183 and 184:
158 CHAPTER 5 Radar Applications of
- Page 185 and 186:
160 CHAPTER 5 Radar Applications of
- Page 188 and 189:
5.2 CS Theory 163While the notion o
- Page 190 and 191:
5.2 CS Theory 165as , where is a b
- Page 192 and 193:
5.3 SR Algorithms 167than the norm
- Page 194 and 195:
5.3 SR Algorithms 169the value of o
- Page 196 and 197:
5.3 SR Algorithms 171takes special
- Page 198 and 199:
5.3 SR Algorithms 173The function f
- Page 200 and 201: 5.3 SR Algorithms 175of the TV norm
- Page 202 and 203: 5.3 SR Algorithms 177One can argue
- Page 204 and 205: 5.3 SR Algorithms 179probability ma
- Page 206 and 207: 5.3 SR Algorithms 181only a subset
- Page 208 and 209: 5.4 Sample Radar Applications 183pr
- Page 210 and 211: 5.4 Sample Radar Applications 185We
- Page 212 and 213: 5.4 Sample Radar Applications 187th
- Page 214 and 215: 5.4 Sample Radar Applications 189tu
- Page 216 and 217: 5.4 Sample Radar Applications 191Ra
- Page 218 and 219: 5.4 Sample Radar Applications 193Ta
- Page 221 and 222: 196 CHAPTER 5 Radar Applications of
- Page 223 and 224: 198 CHAPTER 5 Radar Applications of
- Page 225 and 226: 200 CHAPTER 5 Radar Applications of
- Page 227 and 228: 202 CHAPTER 5 Radar Applications of
- Page 229 and 230: 204 CHAPTER 5 Radar Applications of
- Page 231 and 232: 206 CHAPTER 5 Radar Applications of
- Page 233 and 234: 208 CHAPTER 5 Radar Applications of
- Page 236 and 237: Spotlight SyntheticAperture RadarCH
- Page 238 and 239: 6.1 Introduction 213• Image quali
- Page 240 and 241: 6.2 Mathematical Background 215andf
- Page 242 and 243: 6.2 Mathematical Background 2172π
- Page 245: 220 CHAPTER 6 Spotlight Synthetic A
- Page 249: 224 CHAPTER 6 Spotlight Synthetic A
- Page 253 and 254: 228 CHAPTER 6 Spotlight Synthetic A
- Page 256 and 257: 6.4 Sampling Requirements and Resol
- Page 258 and 259: 6.4 Sampling Requirements and Resol
- Page 261: 236 CHAPTER 6 Spotlight Synthetic A
- Page 264 and 265: 6.5 Image Reconstruction 239FIGURE
- Page 266 and 267: 6.6 Image Metrics 241The contrast r
- Page 268 and 269: 6.6 Image Metrics 243Along-track am
- Page 270: 6.7 Phase Error Effects 245TABLE 6-
- Page 273 and 274: 248 CHAPTER 6 Spotlight Synthetic A
- Page 275 and 276: 250 CHAPTER 6 Spotlight Synthetic A
- Page 277 and 278: 252 CHAPTER 6 Spotlight Synthetic A
- Page 279 and 280: 254 CHAPTER 6 Spotlight Synthetic A
- Page 281 and 282: 256 CHAPTER 6 Spotlight Synthetic A
- Page 283 and 284: 258 CHAPTER 6 Spotlight Synthetic A
- Page 285 and 286: 260 CHAPTER 7 Stripmap SAR3 m SAR O
- Page 287 and 288: 262 CHAPTER 7 Stripmap SAR• RMA i
- Page 289: 264 CHAPTER 7 Stripmap SARH 0 (ω)
- Page 293: 268 CHAPTER 7 Stripmap SARTABLE 7-1
- Page 299 and 300: 274 CHAPTER 7 Stripmap SARFIGURE 7-
- Page 301:
276 CHAPTER 7 Stripmap SAR−500Sce
- Page 310:
7.3 Doppler Beam Sharpening Extensi
- Page 313 and 314:
288 CHAPTER 7 Stripmap SARand in th
- Page 316 and 317:
7.4 Range-Doppler Algorithms 291to
- Page 318:
7.4 Range-Doppler Algorithms 293For
- Page 321:
296 CHAPTER 7 Stripmap SAR−150Col
- Page 325 and 326:
300 CHAPTER 7 Stripmap SAR33 cycles
- Page 327 and 328:
302 CHAPTER 7 Stripmap SARCrossrang
- Page 329:
304 CHAPTER 7 Stripmap SARfrom freq
- Page 332:
7.5 Range Migration Algorithm 307r,
- Page 335:
310 CHAPTER 7 Stripmap SARkx (rad/m
- Page 341:
316 CHAPTER 7 Stripmap SARThe diffe
- Page 345 and 346:
320 CHAPTER 7 Stripmap SARLet us re
- Page 347 and 348:
322 CHAPTER 7 Stripmap SARThe resul
- Page 349 and 350:
324 CHAPTER 7 Stripmap SARscene. Th
- Page 351 and 352:
326 CHAPTER 7 Stripmap SARdriven by
- Page 353 and 354:
328 CHAPTER 7 Stripmap SARTABLE 7-3
- Page 355 and 356:
330 CHAPTER 7 Stripmap SARFIGURE 7-
- Page 357 and 358:
332 CHAPTER 7 Stripmap SAR7.10 REFE
- Page 359 and 360:
334 CHAPTER 7 Stripmap SAR6. [MATLA
- Page 362 and 363:
Interferometric SAR andCoherent Exp
- Page 364 and 365:
8.1 Introduction 3398.1.1 Organizat
- Page 366 and 367:
8.1 Introduction 341Rsabnv rw x ,w
- Page 368 and 369:
8.2 Digital Terrain Models 343FIGUR
- Page 372 and 373:
8.3 Estimating Elevation Profiles U
- Page 374 and 375:
8.3 Estimating Elevation Profiles U
- Page 377:
352 CHAPTER 8 Interferometric SAR a
- Page 380:
8.3 Estimating Elevation Profiles U
- Page 383 and 384:
358 CHAPTER 8 Interferometric SAR a
- Page 387 and 388:
362 CHAPTER 8 Interferometric SAR a
- Page 390 and 391:
8.5 InSAR Processing Steps 365ξ ta
- Page 392:
8.5 InSAR Processing Steps 3670.1 0
- Page 395:
370 CHAPTER 8 Interferometric SAR a
- Page 398 and 399:
8.5 InSAR Processing Steps 373While
- Page 400 and 401:
8.6 Error Sources 375The second met
- Page 402 and 403:
8.6 Error Sources 377If sufficient
- Page 405 and 406:
380 CHAPTER 8 Interferometric SAR a
- Page 407 and 408:
382 CHAPTER 8 Interferometric SAR a
- Page 409 and 410:
384 CHAPTER 8 Interferometric SAR a
- Page 411 and 412:
386 CHAPTER 8 Interferometric SAR a
- Page 413:
388 CHAPTER 8 Interferometric SAR a
- Page 417 and 418:
392 CHAPTER 8 Interferometric SAR a
- Page 419 and 420:
394 CHAPTER 8 Interferometric SAR a
- Page 421 and 422:
396 CHAPTER 8 Interferometric SAR a
- Page 423 and 424:
398 CHAPTER 8 Interferometric SAR a
- Page 426 and 427:
Adaptive Digital BeamformingCHAPTER
- Page 428:
9.1 Introduction 403c k = clutter s
- Page 433 and 434:
408 CHAPTER 9 Adaptive Digital Beam
- Page 435 and 436:
410 CHAPTER 9 Adaptive Digital Beam
- Page 439:
414 CHAPTER 9 Adaptive Digital Beam
- Page 442 and 443:
9.2 Digital Beamforming Fundamental
- Page 445:
420 CHAPTER 9 Adaptive Digital Beam
- Page 448:
9.3 Adaptive Jammer Cancellation 42
- Page 451:
426 CHAPTER 9 Adaptive Digital Beam
- Page 454 and 455:
9.3 Adaptive Jammer Cancellation 42
- Page 456 and 457:
9.3 Adaptive Jammer Cancellation 43
- Page 458 and 459:
9.3 Adaptive Jammer Cancellation 43
- Page 467:
442 CHAPTER 9 Adaptive Digital Beam
- Page 472:
9.5 Wideband Cancellation 447FIGURE
- Page 475 and 476:
450 CHAPTER 9 Adaptive Digital Beam
- Page 477 and 478:
452 CHAPTER 9 Adaptive Digital Beam
- Page 479 and 480:
454 CHAPTER 10 Clutter Suppression
- Page 481 and 482:
456 CHAPTER 10 Clutter Suppression
- Page 483 and 484:
458 CHAPTER 10 Clutter Suppression
- Page 486 and 487:
10.2 Space-Time Signal Representati
- Page 488 and 489:
10.2 Space-Time Signal Representati
- Page 490 and 491:
10.2 Space-Time Signal Representati
- Page 492:
10.2 Space-Time Signal Representati
- Page 495 and 496:
470 CHAPTER 10 Clutter Suppression
- Page 497 and 498:
472 CHAPTER 10 Clutter Suppression
- Page 499 and 500:
474 CHAPTER 10 Clutter Suppression
- Page 501 and 502:
476 CHAPTER 10 Clutter Suppression
- Page 503 and 504:
478 CHAPTER 10 Clutter Suppression
- Page 506 and 507:
10.5 STAP Fundamentals 4810−5−1
- Page 508 and 509:
10.6 STAP Processing Architectures
- Page 510 and 511:
10.6 STAP Processing Architectures
- Page 512 and 513:
10.6 STAP Processing Architectures
- Page 514 and 515:
10.6 STAP Processing Architectures
- Page 516 and 517:
10.7 Other Considerations 4911 CPIM
- Page 518 and 519:
10.9 Summary 49310.7.3 Computationa
- Page 520 and 521:
10.10 References 495[12] Fenner, D.
- Page 522:
10.11 Problems 497the PSD in Figure
- Page 526 and 527:
11.2 Colored Space-Time Exploration
- Page 528 and 529:
11.2 Colored Space-Time Exploration
- Page 531 and 532:
506 CHAPTER 11 Space-Time Coding fo
- Page 537:
512 CHAPTER 11 Space-Time Coding fo
- Page 543 and 544:
518 CHAPTER 11 Space-Time Coding fo
- Page 545:
520 CHAPTER 11 Space-Time Coding fo
- Page 550 and 551:
11.8 References 525Cost reduction o
- Page 552:
11.9 Problems 52711.9.2 Equivalence
- Page 555 and 556:
530 CHAPTER 12 Electronic Protectio
- Page 557 and 558:
532 CHAPTER 12 Electronic Protectio
- Page 560:
12.2 Electronic Attack 535TABLE 12-
- Page 563:
538 CHAPTER 12 Electronic Protectio
- Page 566 and 567:
12.2 Electronic Attack 541variation
- Page 569 and 570:
544 CHAPTER 12 Electronic Protectio
- Page 571 and 572:
546 CHAPTER 12 Electronic Protectio
- Page 573 and 574:
548 CHAPTER 12 Electronic Protectio
- Page 575 and 576:
550 CHAPTER 12 Electronic Protectio
- Page 577 and 578:
552 CHAPTER 12 Electronic Protectio
- Page 579 and 580:
554 CHAPTER 12 Electronic Protectio
- Page 582 and 583:
12.5 Antenna-Based EP 557are adjust
- Page 586 and 587:
12.6 Transmitter-Based EP 561polari
- Page 589 and 590:
564 CHAPTER 12 Electronic Protectio
- Page 591 and 592:
566 CHAPTER 12 Electronic Protectio
- Page 593 and 594:
568 CHAPTER 12 Electronic Protectio
- Page 595 and 596:
570 CHAPTER 12 Electronic Protectio
- Page 597:
572 CHAPTER 12 Electronic Protectio
- Page 603 and 604:
578 CHAPTER 12 Electronic Protectio
- Page 605:
580 CHAPTER 12 Electronic Protectio
- Page 608 and 609:
12.11 Summary 583TABLE 12-4Summary
- Page 610:
12.14 Problems 585[9] Stimson, G.W.
- Page 614 and 615:
Introduction to RadarPolarimetryCHA
- Page 616 and 617:
13.1 Introduction 591and precipitat
- Page 618:
13.1 Introduction 593S: target scat
- Page 622 and 623:
13.2 Polarization 597After substitu
- Page 624 and 625:
13.2 Polarization 599zFIGURE 13-4Po
- Page 626 and 627:
13.3 Scattering Matrix 601left-hand
- Page 629 and 630:
604 CHAPTER 13 Introduction to Rada
- Page 631 and 632:
606 CHAPTER 13 Introduction to Rada
- Page 633 and 634:
608 CHAPTER 13 Introduction to Rada
- Page 635 and 636:
610 CHAPTER 13 Introduction to Rada
- Page 637:
612 CHAPTER 13 Introduction to Rada
- Page 640 and 641:
13.4 Radar Applications of Polarime
- Page 642 and 643:
13.4 Radar Applications of Polarime
- Page 644 and 645:
13.5 Measurement of the Scattering
- Page 646 and 647:
13.5 Measurement of the Scattering
- Page 648 and 649:
13.8 References 623• Lee, Jong-Se
- Page 650 and 651:
13.8 References 625[32] Kraus, J.D.
- Page 652:
13.9 Problems 627with the result in
- Page 656 and 657:
Automatic Target RecognitionCHAPTER
- Page 658 and 659:
14.2 Unified Framework for ATR 633P
- Page 660 and 661:
14.3 Metrics and Performance Predic
- Page 662 and 663:
14.3 Metrics and Performance Predic
- Page 664 and 665:
14.4 Synthetic Aperture Radar 639TA
- Page 666 and 667:
14.4 Synthetic Aperture Radar 641Te
- Page 668 and 669:
14.4 Synthetic Aperture Radar 64314
- Page 670 and 671:
14.4 Synthetic Aperture Radar 645Un
- Page 672 and 673:
14.4 Synthetic Aperture Radar 64714
- Page 674 and 675:
14.4 Synthetic Aperture Radar 649se
- Page 676 and 677:
14.4 Synthetic Aperture Radar 651th
- Page 678 and 679:
14.5 Inverse Synthetic Aperture Rad
- Page 680 and 681:
14.5 Inverse Synthetic Aperture Rad
- Page 682 and 683:
14.6 Passive Radar ATR 657radar sys
- Page 684 and 685:
14.7 High-Resolution Range Profiles
- Page 686 and 687:
14.9 Further Reading 661take a targ
- Page 688 and 689:
14.10 References 663[19] Q. H. Pham
- Page 690 and 691:
14.10 References 665[56] M. Martore
- Page 692 and 693:
14.10 References 667[92] E. Libby,
- Page 694 and 695:
Multitarget, MultisensorTrackingCHA
- Page 698 and 699:
15.1 Review Of Tracking Concepts 67
- Page 700:
15.1 Review Of Tracking Concepts 67
- Page 703 and 704:
678 CHAPTER 15 Multitarget, Multise
- Page 705 and 706:
680 CHAPTER 15 Multitarget, Multise
- Page 708 and 709:
15.2 Multitarget Tracking 683TABLE
- Page 710 and 711:
15.2 Multitarget Tracking 685remove
- Page 713 and 714:
688 CHAPTER 15 Multitarget, Multise
- Page 715 and 716:
690 CHAPTER 15 Multitarget, Multise
- Page 717:
692 CHAPTER 15 Multitarget, Multise
- Page 720 and 721:
15.5 Further Reading 69515.4 SUMMAR
- Page 722 and 723:
15.6 References 697[11] Blair, W.D.
- Page 724 and 725:
15.7 Problems 6992. Common metrics
- Page 726:
⎡⎤3 0 0 0 0 00 3 0 0 0 0P 2 =0
- Page 730 and 731:
Human Detection With Radar:Dismount
- Page 732 and 733:
environment that may mask the gener
- Page 734 and 735:
D s % = Boulic-Thalmann model param
- Page 736 and 737:
16.2 Characterizing the Human Radar
- Page 739 and 740:
714 CHAPTER 16 Human Detection With
- Page 741 and 742:
716 CHAPTER 16 Human Detection With
- Page 743 and 744:
718 CHAPTER 16 Human Detection With
- Page 745 and 746:
720 CHAPTER 16 Human Detection With
- Page 748 and 749:
16.4 Technical Challenges in Human
- Page 750 and 751:
16.4 Technical Challenges in Human
- Page 752 and 753:
16.5 Exploiting Knowledge for Detec
- Page 754 and 755:
16.7 Further Reading 729enable not
- Page 756 and 757:
16.8 References 731[13] Broggi, A.,
- Page 758 and 759:
16.8 References 733[53] G.E. Smith,
- Page 760 and 761:
16.8 References 735Conference on So
- Page 762:
16.9 Problems 737FIGURE 16-13Pendul
- Page 765:
740 CHAPTER 17 Advanced Processing
- Page 769 and 770:
744 CHAPTER 17 Advanced Processing
- Page 771 and 772:
746 CHAPTER 17 Advanced Processing
- Page 773 and 774:
748 CHAPTER 17 Advanced Processing
- Page 775 and 776:
750 CHAPTER 17 Advanced Processing
- Page 777 and 778:
752 CHAPTER 17 Advanced Processing
- Page 779 and 780:
754 CHAPTER 17 Advanced Processing
- Page 781 and 782:
756 CHAPTER 17 Advanced Processing
- Page 783 and 784:
758 CHAPTER 17 Advanced Processing
- Page 786 and 787:
17.3 Direct Signal and Multipath/Cl
- Page 788 and 789:
17.3 Direct Signal and Multipath/Cl
- Page 791 and 792:
766 CHAPTER 17 Advanced Processing
- Page 794 and 795:
17.4 Signal Processing Techniques f
- Page 796:
17.4 Signal Processing Techniques f
- Page 799 and 800:
774 CHAPTER 17 Advanced Processing
- Page 801 and 802:
776 CHAPTER 17 Advanced Processing
- Page 803 and 804:
778 CHAPTER 17 Advanced Processing
- Page 805 and 806:
780 CHAPTER 17 Advanced Processing
- Page 809:
784 CHAPTER 17 Advanced Processing
- Page 812:
17.5 2D-CCF Sidelobe Control 787TAB
- Page 816 and 817:
17.6 Multichannel Processing for De
- Page 819:
794 CHAPTER 17 Advanced Processing
- Page 822:
17.6 Multichannel Processing for De
- Page 828 and 829:
17.6 Multichannel Processing for De
- Page 830:
17.6 Multichannel Processing for De
- Page 835:
810 CHAPTER 17 Advanced Processing
- Page 838 and 839:
17.6 Multichannel Processing for De
- Page 840 and 841:
17.10 References 815While far from
- Page 842 and 843:
17.10 References 817[20] Chetty, K.
- Page 844 and 845:
17.11 Problems 819[52] Gao, Z., Tao
- Page 846:
17.11 Problems 8215. Using the sign
- Page 849 and 850:
824 Appendix A: Answers to Selected
- Page 851 and 852:
826 Appendix A: Answers to Selected
- Page 853:
828 Appendix A: Answers to Selected
- Page 857 and 858:
ResolutionResolution withDimension
- Page 859 and 860:
830 IndexASAR. See Advanced SAR (AS
- Page 861 and 862:
832 IndexCross-polarization (XPOL),
- Page 863 and 864:
834 IndexExciter-based EP (cont.)fr
- Page 865 and 866:
836 IndexInterferencecolored noise,
- Page 867 and 868:
838 IndexMoving target indication (
- Page 869 and 870:
840 IndexPOI. See Probability of in
- Page 871 and 872:
842 IndexSaturated (constant amplit
- Page 873 and 874:
844 IndexStripmap SAR (cont.)remote
- Page 875 and 876:
846 IndexWWald sequential test, com
Inappropriate
Loading...
Inappropriate
You have already flagged this document.
Thank you, for helping us keep this platform clean.
The editors will have a look at it as soon as possible.
Mail this publication
Loading...
Embed
Loading...
Delete template?
Are you sure you want to delete your template?
DOWNLOAD ePAPER
This ePaper is currently not available for download.
You can find similar magazines on this topic below under ‘Recommendations’.