Geometric Clutter Analysis for Airborne Passive Coherent Location Radar

Malanowski, Mateusz; Rytel-Andrianik, Rafał; Kulpa, Krzysztof; Stasiak, Krzysztof; Ciesielski, Marek; Kulpa, J.

doi:10.1109/tgrs.2022.3196407

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Cited by 5 publications

(2 citation statements)

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“…In this context, references [1][2][3][4] explore the clutter characteristics of airborne bistatic radar by different methods. Reference.…”

Section: Introductionmentioning

confidence: 99%

Study on clutter freedom of airborne bistatic radar

Zhao,

2023

Fourth International Conference on Signal Processing and Computer Science (SPCS 2023)

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“…In this context, references [1][2][3][4] explore the clutter characteristics of airborne bistatic radar by different methods. Reference.…”

Section: Introductionmentioning

confidence: 99%

Study on clutter freedom of airborne bistatic radar

Zhao,

2023

Fourth International Conference on Signal Processing and Computer Science (SPCS 2023)

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“…Airborne passive radars exploit the existing transmitters as emitters of opportunity, having attracted widespread attention in recent years [1][2][3][4][5][6][7]. Compared with airborne active radars, the lack of dedicated transmitters offers the advantages of low cost, strong survivability, and antijamming.…”

Section: Introductionmentioning

confidence: 99%

Clutter Suppression Algorithm with Joint Intrinsic Clutter Motion Errors Calibration and Off-Grid Effects Mitigation in Airborne Passive Radars

Deng

Pei

et al. 2023

Applied Sciences

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In an airborne passive radar, multipath (MP) clutter, which is caused by MP signals contained in the contaminated reference signal, degrades the space-time adaptive processing (STAP) performance. The MP clutter suppression algorithm before STAP can mitigate the influence of impure reference signals. However, the performances of the existing MP clutter suppression methods deteriorate when the intrinsic clutter motion (ICM) exists because the sparse model of MP clutter is disturbed. To eliminate the impacts of ICM on MP clutter suppression, a joint optimization algorithm is developed for airborne passive radar. Firstly, the sparse model of MP clutter is modified by taking ICM fluctuation into account. Subsequently, the joint optimization function of the ICM fluctuation and MP clutter profile is derived. Finally, based on the local search technique, MP clutter is suppressed with ICM error calibration and off-grid effects mitigation. A range of simulations verify the reliability and superiority of the proposed method.

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