Abstract
Clutter suppression is a challenging problem for passive bistatic radar systems, given the complexity of actual clutter scenarios (stationary, time-varying and fractional-order clutter). Such complex clutter induces intense sidelobes in the entire range-Doppler plane and thus degrades target-detection performance, especially for low-observable targets. In this paper, a novel method, denominated as the batch version of the extensive cancellation algorithm (ECA) in the frequency domain (ECA-FB), is presented for the first time, to suppress stationary clutter and its sidelobes. Specifically, in this method, the received signal is first divided into short batches in the frequency domain to coarsen the range resolution, and then the clutter is removed over each batch via ECA. Further, to suppress the time-varying clutter, a Doppler-shifted version of ECA-FB (ECA-FBD) is proposed. Compared with the popular ECA and ECA-B methods, the proposed ECA-FB and ECA-FBD obtained superior complex clutter suppression and slow-moving target detection performance with lower computational complexity. A series of simulation and experimental results are provided to demonstrate the validity of the proposed methods.
Highlights
The development of effective and low-cost surveillance sensors to detect and identify the moving objects approaching important infrastructure finds its place among the major challenges of the last decades
The RD results after clutter cancellation by extensive cancellation algorithm (ECA) are shown in Figure 15a,b, in which we note that two targets are detected at (169, 98.6 Hz), (198, −20.5 Hz)
We have introduced and analyzed the characteristics of complex clutter in passive bistatic radar (PBR) system
Summary
The development of effective and low-cost surveillance sensors to detect and identify the moving objects approaching important infrastructure finds its place among the major challenges of the last decades. In PBR systems, the target detection is performed by calculating the cross-correlation function between the Doppler-shifted version of the time-delayed reference signal and surveillance signal, i.e., a cross-ambiguity function (CAF) [5,18]. Its specific structure type and inherent autocorrelation feature may lead to unwanted peaks and sidelobes in the ambiguity function (AF) [19,20]. These sidelobes often have a level not much lower than the main peak, which may raise the range-Doppler (RD) pedestal, and degrade the detection probability
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