Multi-dimensional mismatch filter design optimization for radar waveforms

Abstract

This paper will present a methodology to optimize the design of a mismatch filter using the least squares solution. This approach utilizes two parameters referred to as the designed mainlobe width and the diagonal loading value. The metrics under consideration for this filter design are mainlobe width, peak sidelobe level (PSL), mean sidelobe level (MSL), and mismatch loss. Using this technique significant improvements of over 40 dB PSL and nearly 25 dB MSL are gained for less than 1 dB degradation in mismatch loss and slight increase in mainlobe width. This design is based on waveforms that are physically realizable and are often found in weather radar and other remote sensing applications.