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Principles of Modern Radar - Volume 2 1891121537

Principles of Modern Radar - Volume 2 1891121537

Principles of Modern Radar - Volume 2 1891121537

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54 CHAPTER 2 Advanced Pulse Compression Waveform ModulationsFIGURE 2-17 Thewaveform’snonlinear frequencyresponse willgenerate a Taylorweighted spectrum.frequency (normalized by β)0.50.40.30.20.10−0.1−0.2−0.3−0.4−0.5−0.5 −0.4 −0.3 −0.2 −0.1 0 0.1 0.2 0.3 0.4 0.5time (normalized by τ)At this point, we want to implement the graphical technique proposed by Cook [26].First, the group delay in equation (2.101) is evaluated at equally spaced points in .Next, a numerical interpolation is performed on the samples to obtain equally spacedpoints in time (i.e., group delay) that map to specific values <strong>of</strong> the independent frequencyvariable, . The time samples are then multiplied by –1 (flipping them about the groupdelay axis) and circularly rotated left to right (e.g., a clockwise rotation <strong>of</strong> a row vectorcontaining the samples) creating new function with time as the new independent variableand instantaneous frequency as the new dependent variable. Figure 2-17 contains a plot<strong>of</strong> the instantaneous frequency obtained from equation (2.101) after applying a cubicinterpolation and the inversion process.A model for the instantaneous frequency [3] is proposed:[t Mφ ′ (t) = 2πβτ + 2 ∑( ) ] 2πmtd k sin(2.102)τm=1Equation (2.102) asserts that the instantaneous frequency may be modeled as a linear termplus a sum <strong>of</strong> harmonically related and weighted sine functions. To obtain the coefficientsd k , the linear component is first subtracted from both sides <strong>of</strong> the equationφ ′ (t)2πβ − t M τ = 2 ∑( ) 2πmtd k sinτm=1(2.103)The right side <strong>of</strong> equation (2.103) represents the first M terms <strong>of</strong> the Fourier series <strong>of</strong>an odd signal. Figure 2-18 contains a plot <strong>of</strong> the instantaneous frequency with the linearcomponent removed. The response is odd and may be interpreted as one period <strong>of</strong> aperiodic function. Harmonic analysis is applied to the signal in Figure 2-18 to obtain thecoefficients d k .A periodic signal x(t) may be expressed as a sum <strong>of</strong> weighted <strong>of</strong> sines and cosineswhere∞∑x(t) = a 0 + 2 [b k cos (m 0 t) + d k sin (m 0 t)] (2.104)m=1

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