Matched Filter

The following are the key parameters for implementing the matched filter system in radar signal processing applications: - nscat: Number of point scatterers within the receiving window - typically implemented as a scalar input parameter in simulation code - rrec: Size of the receiving window in meters - determines the spatial domain for target detection algorithms - taup: Uncompressed pulse width in seconds - crucial parameter for pulse compression processing and matched filter design - b: Linear frequency modulation (LFM) bandwidth in Hz - defines the chirp signal characteristics in frequency domain processing - scat_range: Relative range of scatterers within the receiving window in meters - implemented as an array representing target positions in range processing algorithms - scat_rcs: Vector of scatterers' Radar Cross Section (RCS) in square meters - used in radar equation calculations for signal strength estimation - win: Window function selection parameter: 0 = no window (rectangular window); 1 = Hamming window for sidelobe reduction; 2 = Kaiser window with beta parameter pi; 3 = Chebyshev window with -60dB sidelobe level - these window functions are applied in frequency domain processing to control sidelobe levels - y: Normalized compressed output - represents the matched filter output after pulse compression, typically normalized for comparison and detection threshold applications Proper implementation requires careful parameter configuration where these variables are typically defined as input arguments to radar signal processing functions. The matched filter algorithm involves cross-correlation between the received signal and a reference signal template, with window functions applied to optimize time-frequency resolution and minimize sidelobe interference. Code implementation typically includes steps for signal generation, matched filter convolution, and output normalization to achieve optimal target detection performance.