11.07.2015 Views

Principles of Modern Radar - Volume 2 1891121537

Principles of Modern Radar - Volume 2 1891121537

Principles of Modern Radar - Volume 2 1891121537

SHOW MORE
SHOW LESS
  • 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.

17.5 2D-CCF Sidelobe Control 779higher than 240 m), the temporal ACF sidelobes at multiples <strong>of</strong> 1 μs should be reduced toavoid masking effects on targets appearing at those delays. A proper strategy to counteractthis effect is presented in the following.First, whereas the positions <strong>of</strong> these additional peaks in the ACF are a priori known,their value is data dependent and has to be estimated from the data themselves. To thispurpose the reference signal can be used to evaluate the values <strong>of</strong> the actual signal ACFat delays t k = kT sym (ˆα(t k )); these estimates can be then exploited to design a simple andeffective sidelobe reduction filter. Specifically, we start from the original CCF between thesurveillance and the reference signals for the m-th pulse, χ (m) (τ). The required sidelobesreduction can be obtained by subtracting from χ (m) (τ) a number 2K s <strong>of</strong> its replicas,appropriately scaled and delayed:χ (m)ASRF(τ) = χ (m) (τ) −K S∑k =−K Sk ≠ 0γ (m)k χ (m) (τ − kT sym ) (17.27)where K S is the number <strong>of</strong> range sidelobes to be removed on both sides <strong>of</strong> the ACFmain peak, and γ (m)k is the scaling factor for the k-th sidelobe at the m-th pulse that isobtained asγ (m)k = ˆα(m) (kT s )ˆα (m) (0)(17.28)The number K S <strong>of</strong> sidelobes to be reduced can be arbitrarily selected aiming atremoving periodical sidelobes contribution over a given range extent corresponding to thesurveillance area. The ASRF can be applied after the BWN by properly modifying thescaling factors, namely, the samples <strong>of</strong> the BWN-filtered reference signal ACF should beused.The ACF resulting from the cascade <strong>of</strong> the two different sidelobe reduction filters isshown in Figure 17-17 when the ASRF operates with K S = 3. The joint application <strong>of</strong> thetwo considered approaches in the range dimension provides a significant improvement <strong>of</strong>the PSLR and the effective removal <strong>of</strong> the isolated peaks, with only a very limited loss inSNR that is mainly due to the BWN.To show the benefits <strong>of</strong> the proposed techniques with reference to the target detectionissue, Figure 17-18 reports the results obtained for the same data set <strong>of</strong> Figures 17-16a–bafter applying the range sidelobes control networks (BWN + ASRF).Figure 17-18a shows the 2D-CCF evaluated without disturbance cancellation butusing a mismatched reference signal to achieve the desired sidelobe control in both therange and Doppler dimensions. In our specific case, it is not strictly necessary to apply theASRF since the maximum range searched for detection is limited to the parking area wherethe tests were performed. The 2D-CCF in the Doppler dimension shows severe sidelobesstructure that cannot be totally removed by using a conventional weighting network. In fact,these sidelobes represent Doppler ambiguities due to the nonregular beacon transmittingfrequency. Notice that, even configuring the AP to transmit the beacon signal at 1 msintervals, we experienced a variable beacon repetition period due to the capability <strong>of</strong>the WiFi system to “sniff” the shared medium before starting transmission. In contrast,the range sidelobes related to the Barker code due to the direct signal and other multipathcontributions have been significantly reduced with respect to Figure 17-16a. Consequently,isolated peaks now appear at zero velocity at ranges <strong>of</strong> about 70 m, 100 m, and 135 m,

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!