Cognitive Random Stepped Frequency Radar with Sparse Recovery

TL;DR

This paper introduces a cognitive RSF radar that adaptively designs pulse frequencies using sparse recovery techniques, significantly enhancing target detection and reconstruction performance in complex environments.

Contribution

It proposes a novel cognitive mechanism for RSF radar that adaptively optimizes carrier frequencies to improve sparse recovery-based target estimation.

Findings

Adaptive frequency design improves target reconstruction accuracy.

Sparse recovery enhances target detection in cluttered environments.

Simulation results confirm the effectiveness of the proposed method.

Abstract

Random stepped frequency (RSF) radar, which transmits random-frequency pulses, can suppress the range ambiguity, improve convert detection, and possess excellent electronic counter-countermeasures (ECCM) ability [1]. In this paper, we apply a sparse recovery method to estimate the range and Doppler of targets. We also propose a cognitive mechanism for RSF radar to further enhance the performance of the sparse recovery method. The carrier frequencies of transmitted pulses are adaptively designed in response to the observed circumstance. We investigate the criterion to design carrier frequencies, and efficient methods are then devised. Simulation results demonstrate that the adaptive frequency-design mechanism significantly improves the performance of target reconstruction in comparison with the non-adaptive mechanism.