Abstract :
Summary form only given.Fundamental tools for radar signal analysis - the matched filter response and the ambiguity function - are briefly discussed and demonstrated on basic signals: LFM pulse, coherent pulse train and a coherent train of LFM pulses. Advanced pulse compression signals and sidelobe reduction techniques are then studied, including: frequency modulation (Costas, NLFM, multi-carrier), phase coding (Barker, Frank, P3, P4, P(n,k), polyphase Barker, MPSL), inter-pulse diversity (complementary, step-frequency, orthogonal overlay), weighting and mismatch filters. Also discussed are spectrum sidelobe reduction techniques (derivative phase, Qudriphase transformation, Gaussian windowed sinc), periodic CW waveforms, and waveforms for non-coherent pulse compression. MATLAB software tools for radar signal analysis will be demonstrated.
Keywords :
matched filters; mathematics computing; phase coding; pulse compression; radar signal processing; LFM pulse; Matlab software tool; ambiguity function; coherent pulse; frequency modulation; inter pulse diversity; matched filter; mismatch filter; phase coding; polyphase Barker; pulse compression signal; radar signal analysis; spectrum sidelobe reduction; waveform analysis; weighting filter; Frequency modulation; MATLAB; Matched filters; Navigation; Physics; Pulse compression methods; Radar signal processing; Signal analysis; Signal design; Software tools;
