Department of Information Engineering, Electronics and Telecommunications (DIET), Sapienza University of Rome, 00184 Rome, Italy.
Fraunhofer Institute for High Frequency Physics and Radar Techniques (FHR), 53343 Wachtberg, Germany.
Sensors (Basel). 2021 Jul 3;21(13):4569. doi: 10.3390/s21134569.
This paper deals with the problem of detection and direction of arrival (DOA) estimation of slowly moving targets against clutter in multichannel mobile passive radar. A dual cancelled channel space-time adaptive processing (STAP) scheme is proposed, aiming at reducing the system computational complexity, as well as the amount of required training data, compared to a conventional full array solution. The proposed scheme is shown to yield comparable target detection capability and DOA estimation accuracy with respect to the corresponding full array solution, despite the lower computational cost required. Moreover, it offers increased robustness against adaptivity losses, operating effectively even in the presence of a limited set of training data, as often available in the highly non-homogeneous clutter scenarios experienced in bistatic passive radar. The effectiveness of the proposed scheme and its suitability for passive GMTI are demonstrated against both simulated and experimental data collected by a DVB-T-based multichannel mobile passive radar.
本文针对多通道移动无源雷达杂波中慢动目标的检测和到达方向（DOA）估计问题进行了研究。提出了一种双消通道空时自适应处理（STAP）方案，旨在降低系统计算复杂度，同时减少与传统全阵解决方案相比所需的训练数据量。所提出的方案与相应的全阵解决方案相比，具有相当的目标检测能力和 DOA 估计精度，尽管所需的计算成本更低。此外，它在自适应损耗方面具有更高的鲁棒性，即使在训练数据有限的情况下也能有效工作，这在双基地无源雷达中经常遇到的高度非均匀杂波情况下非常常见。针对基于 DVB-T 的多通道移动无源雷达采集的仿真和实验数据，验证了所提方案的有效性及其在无源 GMTI 中的适用性。
