2019
DOI: 10.1049/iet-rsn.2018.5214
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Direct path interference suppression for short‐range passive bistatic synthetic aperture radar imaging based on atomic norm minimisation and Vandermonde decomposition

Abstract: A novel direct path interference (DPI) suppression method is proposed in this paper for passive bistatic synthetic aperture radar (SAR) imaging applications. Conventional time-domain processing methods cannot mitigate the DPI completely and will introduce errors into the target position estimation. By exploiting the sparsity of the DPI signal and the properties of its covariance matrix, the proposed method solves these problems by accurately estimating the time delay of DPI based on the atomic minimization alg… Show more

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Cited by 4 publications
(3 citation statements)
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References 37 publications
(71 reference statements)
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“…The synthetic aperture length is 1.2 m with a step of 5 mm, the integration time is 100 µs, and the processing time is 1 µs. Based on Equations (25) and (32), SAR images of the metallic plate obtained by BPA and RMA are shown in Figure 15. It can be seen that the target can be well focused, while strong artifacts are generated in the range direction.…”
Section: Experiments Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The synthetic aperture length is 1.2 m with a step of 5 mm, the integration time is 100 µs, and the processing time is 1 µs. Based on Equations (25) and (32), SAR images of the metallic plate obtained by BPA and RMA are shown in Figure 15. It can be seen that the target can be well focused, while strong artifacts are generated in the range direction.…”
Section: Experiments Resultsmentioning
confidence: 99%
“…where (•) * denotes complex conjugate, R 1 = R 1,2 − R 1,1 , and A 0 = A surv A * re f . For PBR, the inverse filtering (i.e., reciprocal filtering)-based method [29,32] can be used to avoid the influence of the IO waveform, i.e., the influence of s 0 (f ) in Equation 15, resulting in…”
Section: Signal Modelmentioning
confidence: 99%
“…Therefore, interference cancellation becomes a key issue in passive radar systems. At present, adaptive algorithms for interference cancellation mainly include: Least Mean Square (LMS), Recursive Least Squares (RLS), Extended Cancellation Algorithm (ECA) [11] [12], Sequential Cancellation Algorithm (SCA), and so on [13]. The ECA has been shown to be effective against typical scenarios with a limited number of iterations.…”
Section: Introductionmentioning
confidence: 99%