Clutter cancellation in passive radar using batch-based CLEAN technique

Abstract

Passive radar (PR) systems need to detect the presence of a target response, which is many orders of magnitude weaker than the clutter (direct signal and multipath). Indeed, the clutter cancellation is a key stage within a PR processing scheme. One of the most effective techniques in this field is using the CLEAN approach. In this paper, the batch-based CLEAN technique based on GMP and FFT has been proposed, which can speed up the computational processing and have better cancellation gain. Furthermore, segmenting operation can be applied to the signal obtained over long time. It is helpful to enhance temporal or spatial efficiency and overcome effect of time-varying clutter. Experiment results with simulated and real passive radar data verify the effectiveness of the proposed algorithm.

Bistatic noise radar: Demonstration of correlation noise suppression

“…There are several different techniques to alleviate the CNF problem, all coming with their own drawbacks. There are algorithms such as lattice filters [21,22], estimating and subtracting clutter echoes [23][24][25][26][27][28], CLEAN [29,30], mismatched filtering [25,31], inverse filtering [32,33], Wiener filtering [34] and apodisation filtering [35]. Most of these techniques require immense processing power, which makes them difficult to implement in real time.…”

“…The target is obscured by the correlation noise floor due to a strong direct signal with a power 120 dB stronger than the thermal noise at 0 dB. Some clutter with randomised power on[30, 80] dB is weakly visible, centred at zero Doppler. (b) Clutter suppression by applying the Sequential CLEAN algorithm.…”