Waveform Design for One-Bit Radar Systems Under Uncertain Interference Statistics

TL;DR

This paper addresses waveform design for one-bit radar systems, optimizing performance under uncertain interference statistics by developing a joint transmit and receive filter algorithm, validated through numerical analysis.

Contribution

It introduces a novel waveform optimization method for one-bit radars that accounts for interference covariance uncertainties, a scenario common in practical applications.

Findings

Algorithm effectively designs waveforms under interference uncertainty

Numerical results demonstrate improved estimation performance

Method adapts to limited interference information

Abstract

An important problem in cognitive radar is to enhance the estimation performance of the system by a joint design of its probing signal and receive filter using the a priori information on interference. In such cases, the knowledge of interference statistics (particularly the covariance) plays a vital role in an effective design of the radar waveforms. In most practical scenarios, however, the received signal and interference statistics are available subject to some uncertainty. An extreme manifestation of this practical observation occurs for radars employing one-bit receivers, where only a normalized version of interference covariance matrix can be obtained. In this paper, we formulate a waveform optimization problem and devise an algorithm to design the transmit waveform and the receive filter of one-bit radars given such uncertainties in acquired interference statistics. The effectiveness of the proposed algorithm is corroborated through numerical analysis.