Designing High-Performance Mismatched Filters for Radar Applications

This paper addresses the problem of computing optimal mismatched filter coefficients for various radar waveforms such as linear frequency modulation (LFM), Barker code (BC), Zadoff-Chu (ZC) sequence, and GS code, with the goal of maximizing the peak sidelobe ratio (PSLR) of the matched filter output. For achieving global solution, the optimization problem is formulated as a convex quadratically constrained quadratic program (QCQP) with additional constraints such as loss in processing gain (LPG) and sidelobe shapes. The proposed mismatched filter is evaluated through simulations, which demonstrate its superior performance compared to the conventional matched filter output.