Abstract

In this paper, a joint maritime moving target detection and imaging approach, referred to as the fast inverse synthetic aperture radar (ISAR) imaging approach, based on the multi-resolution space−time adaptive processing (STAP), is proposed to improve the target detection performance and the target imaging efficiency in an airborne radar system. In the target detection stage, the sub-band STAP is introduced to improve the robustness of clutter suppression and to enhance the target output power with the decreased range resolution, by which the coarse estimation of target range-Doppler (R-D) location is obtained as the prior knowledge. In the following target imaging stage, the ISAR imaging is applied in the localized R-D zone surrounding with the target location. However, it is difficult to directly apply ISAR imaging with the conventional R-D algorithm because the slow-moving maritime target cannot be separated from the clutter interference in the Doppler frequency dimension. In this regard, the full-band STAP is applied in the R-D two-dimensional frequency domain for the simultaneous clutter suppression and high-resolution ISAR imaging, in which the envelope alignment and phase compensation are achieved by adaptive match filtering with the target Doppler frequency coarse estimation. Moreover, the reduced-dimension STAP applied in the target-surrounded localized Doppler frequency zone gives facilities for alleviating the computation burden. Simulation results corroborate the effectiveness of the proposed method.

Highlights

  • For airborne battlefield surveillance radars, it is challenging to obtain high-resolution radar images of moving targets in the scenario of strong clutter interference

  • The novelties and contributions of this paper are summarized as follows. It circumvents maritime target detection and clutter suppression performances degradation in the Inverse synthetic aperture radar (ISAR) system, which is achieved by eliminating the range walking (RW) and target extending issues based on the sub-band Space−time adaptive processing (STAP); The coarse estimation of target R-D location obtained in the sub-band STAP output is subsequently utilized as a priori knowledge, which gives facilities to the fast full-band

  • Numerical examples are provided to assess the performance of the proposed fast ISAR imaging approach based on the multi-resolution STAP, where strong clutter interference and additive white Gaussian noise (AWGN) are in the side-looking airborne radar system

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Summary

Introduction

For airborne battlefield surveillance radars, it is challenging to obtain high-resolution radar images of moving targets in the scenario of strong clutter interference. At the target detection stage, the sub-band STAP is introduced with the subband division technique [17,18], by which the nonstationary echo signal is alleviated in regard to the RW of target and clutter, while the target extending issue is alleviated In this regard, the coarse estimation of the target R-D location can be obtained robustly by improving the output SCNR performance of the STAP. The novelties and contributions of this paper are summarized as follows It circumvents maritime target detection and clutter suppression performances degradation in the ISAR system, which is achieved by eliminating the RW and target extending issues based on the sub-band STAP; The coarse estimation of target R-D location obtained in the sub-band STAP output is subsequently utilized as a priori knowledge, which gives facilities to the fast full-band.

Signal Model
ISAR Imaging Based on the Multi-Resolution STAP
Robust Clutter Suppression with Sub-Band STAP
Efficient ISAR Imaging with the Full-Band STAP
Simulation Results
SCNR-Enhanced Sub-Band STAP
Efficient ISAR Imaging with Full-Band STAP
Conclusions
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