抑制干扰下多目标定位MIMO雷达动态收发波束优化

IF 4.6 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Jun Sun;Wei Yi;Ye Yuan;Pramod K. Varshney
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引用次数: 0

摘要

本文针对认知多目标跟踪(MTT)场景下的认知多目标跟踪(MTT),提出了一种动态发射和接收波束方向优化(DTRBO)方法。为了准确地考虑抑制干扰对MTT性能的影响,我们开发了一个综合信号模型,将完整的发射-接收波束形成过程集成到资源优化框架中。基于该增强信号模型,我们推导了一种基于枚举的后验cram r- rao下界(PCRLB),该下界结合了测量误差和目标脱靶检测,在抑制干扰下提供了更准确的性能指标。利用推导的PCRLB,制定了DTRBO策略,对每个跟踪间隔的发射和接收波束进行动态优化,从而最大化全局MTT性能。由于优化变量的耦合性和推导出的PCRLB的非凸性,所得到的优化问题在计算上具有挑战性。为了解决这个问题,我们提出了一种基于分区的三阶段迭代方法来解耦变量,采用基于一阶泰勒展开的凸逼近技术来有效地解决非凸问题。仿真结果证明了所提出的DTRBO策略在MTT性能和抗干扰能力方面的有效性和优越性,优于现有的在资源感知优化中忽略波束模式建模过程的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Transmit-Receive Beampattern Optimization of Colocated MIMO Radars for Multi-Target Tracking Under Suppression Jamming
In this paper, we propose a dynamic transmit and receive beampattern optimization (DTRBO) method for colocated MIMO (C-MIMO) radars in cognitive multi-target tracking (MTT) scenarios under suppression jamming. To accurately account for the effects of suppression jamming on MTT performance, we develop a comprehensive signal model that integrates the complete transmit-receive beamforming process into the resource optimization framework. Based on this enhanced signal model, we derive an enumeration-based posterior Cramér-Rao lower bound (PCRLB), which incorporates both measurement errors and target miss detections, providing a more accurate performance metric under suppression jamming. Using the derived PCRLB, the DTRBO strategy is formulated to dynamically optimize transmit and receive beams for each tracking interval, thereby maximizing global MTT performance. Due to the coupling of optimization variables and the non-convexity of the derived PCRLB, the resulting optimization problem is computationally challenging. To address this, we propose a partition-based three-stage iterative method to decouple the variables, employing a first-order Taylor expansion-based convex approximation technique to solve the non-convex problem efficiently. Simulation results demonstrate the effectiveness and the superiority of the proposed DTRBO strategy in terms of both MTT performance and anti-jamming capabilities, outperforming existing approaches that omit the beampattern modeling process in resource-aware optimization.
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来源期刊
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing 工程技术-工程:电子与电气
CiteScore
11.20
自引率
9.30%
发文量
310
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Signal Processing covers novel theory, algorithms, performance analyses and applications of techniques for the processing, understanding, learning, retrieval, mining, and extraction of information from signals. The term “signal” includes, among others, audio, video, speech, image, communication, geophysical, sonar, radar, medical and musical signals. Examples of topics of interest include, but are not limited to, information processing and the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals.
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