Parallel Implementation Of Clutter Suppression Of Passive Radar Based On LDLT

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI:10.1109/ICEICT55736.2022.9908824

Jia Dong, Luo Yangjing, Cai Wanyuan, Wang Hai-Tao

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Abstract

With the increasing signal bandwidth of oppor-tunistic radiators, real-time clutter suppression has become a serious challenge for passive radars. To solve the problem, this paper designs an inter-segment parallel algorithm based on the extended cancellation algorithm batches (ECA-B) of LDLT decomposition. Firstly, based on the GPU multi-thread parallel processing technology, the effectiveness of the ECA-B algorithm is improved by segmented parallel processing, which is combined with the same sub-module characteristics of each segment of the ECA-B algorithm. Then, the cost of the time of data transmission in the inversion process of traditional ECA-B algorithm is economized by proposing a parallel iterative inversion method based on LDLT leveraging the conjugate symmetry property of covariance matrix, which is processed by two CUDA kernel function and further improves the execution efficiency of the parallel algorithm between segments. Experimental results show that the algorithm performs higher effectiveness compared with the traditional algorithms.

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基于LDLT的无源雷达杂波抑制并行实现

随着机会辐射体信号带宽的增加，实时杂波抑制已成为无源雷达面临的严峻挑战。为了解决这一问题，本文在LDLT分解的扩展对消算法批次(ECA-B)的基础上设计了一种分段间并行算法。首先，基于GPU多线程并行处理技术，结合ECA-B算法各段具有相同子模块特性的分段并行处理，提高ECA-B算法的有效性;然后，利用协方差矩阵的共轭对称性，提出了一种基于LDLT的并行迭代反演方法，节约了传统ECA-B算法在反演过程中数据传输的时间成本，该方法由两个CUDA核函数处理，进一步提高了段间并行算法的执行效率。实验结果表明，与传统算法相比，该算法具有更高的有效性。

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2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)

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