CoSTAP: Clutter Suppression in Co-Pulsing FDA-STAP
Wanghan Lv, Kumar Vijay Mishra

TL;DR
This paper introduces CoSTAP, a novel clutter suppression method for co-pulsing FDA radar that exploits second-order statistics, improving clutter mitigation, reducing computational costs, and enhancing robustness compared to traditional FDA-STAP techniques.
Contribution
The paper proposes a new STRAP approach using second-order statistics and co-prime arrays for clutter suppression in co-pulsing FDA radar, with an efficient 3-D clutter subspace estimation method.
Findings
CoSTAP outperforms existing FDA-STAP algorithms in clutter suppression.
The approximate 3-D clutter subspace estimation balances performance and computational cost.
Numerical experiments confirm the effectiveness and robustness of CoSTAP.
Abstract
Range-dependent clutter suppression poses significant challenges in airborne frequency diverse array (FDA) radar, where resolving range ambiguity is particularly difficult. Traditional space-time adaptive processing (STAP) techniques used for clutter mitigation in FDA radars operate in the physical domain defined by first-order statistics. In this paper, unlike conventional airborne uniform FDA, we introduce a space-time-range adaptive processing (STRAP) method to exploit second-order statistics for clutter suppression in the newly proposed co-pulsing FDA radar. This approach utilizes co-prime frequency offsets (FOs) across the elements of a co-prime array, with each element transmitting at a non-uniform co-prime pulse repetition interval (C-Cube). By incorporating second-order statistics from the co-array domain, the co-pulsing STRAP or CoSTAP benefits from increased degrees of freedom…
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Taxonomy
TopicsMaterial Properties and Processing
