Experimental Evaluation of Moving Target Compensation in High Time-Bandwidth Noise Radar

TL;DR

This paper evaluates a computationally efficient stretch processing algorithm for high time-bandwidth noise radars to compensate for moving targets, demonstrating significant SINR improvements through experimental UAV-based tests.

Contribution

The paper introduces and experimentally validates a real-time compatible stretch processing algorithm specifically designed for moving target compensation in high bandwidth noise radars.

Findings

SINR increased by approximately 13 dB with the algorithm

Achieved coherent integration times of 2.5 seconds

Demonstrated effectiveness using UAV target data

Abstract

In this article, the effect a moving target has on the signal-to-interference-plus-noise-ratio (SINR) for high time-bandwidth noise radars is investigated. To compensate for cell migration we apply a computationally efficient stretch processing algorithm that is tailored for batched processing and suitable for implementation onto a real-time radar processor. The performance of the algorithm is studied using experimental data. In the experiment, pseudorandom noise, with a bandwidth of 100 MHz, is generated and transmitted in real-time. An unmanned aerial vehicle (UAV), flown at a speed of 11 m/s, is acting as a target. For an integration time of 1 s, the algorithm is shown to yield an increase in SINR of roughly 13 dB, compared to no compensation. It is also shown that coherent integration times of 2.5 s can be achieved.