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弹箭与制导学报 >

2025 , Vol. 45 >Issue 6: 1231 - 1239

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2025.06.034

学术文章

低比特量化异构数据协同探测算法

  • 姜夏宇 , 1, 2, 3 ,
  • 米晓林 1, 2, 3, 4 ,
  • 姜昕悦 5 ,
  • 李西敏 6 ,
  • 杨诗兴 , 6, 7, *
展开
  • 1 上海无线电设备研究所,上海 201109
  • 2 散射辐射全国重点实验室,上海 200438
  • 3 上海市航空航天器电磁环境效应重点实验室,上海 200438
  • 4 复旦大学电磁波信息科学教育部重点实验室,上海 200433
  • 5 西安电子科技大学杭州研究院,杭州 311231
  • 6 西安电子科技大学电子工程学院,西安 710071
  • 7 西安电子科技大学雷达信号处理全国重点实验室,西安 710071
杨诗兴(1995—),男,讲师,博士。E-mail:。

姜夏宇(1997—),男,工程师,硕士。E-mail:。

收稿日期: 2025-02-22

  网络出版日期: 2026-01-24

基金资助

上海无线电设备研究所散射辐射全国重点实验室开放基金(802NKL2023-006)

国家自然科学基金(62501447)

中国博士后科学基金资助(2025M773504)

中央高校基本科研业务费专项资金(XJSJ25003)

收起

Joint Detection and Estimation with Hybrid Low-Bit Quantizated Signals

  • JIANG Xiayu , 1, 2, 3 ,
  • MI Xiaolin 1, 2, 3, 4 ,
  • JIANG Xinyue 5 ,
  • LI Ximin 6 ,
  • YANG Shixing , 6, 7, *
Expand
  • 1 Shanghai Radio Equipment Research Institute,Shanghai 201109,China
  • 2 National Key Laboratory of Scattering and Radiation,Shanghai 200438,China
  • 3 Shanghai Key Laboratory of Electromagnetic Environmental Effects for Aerospace Vehicle,Shanghai 200438,China
  • 4 Key Laboratory of Information Science of Electromagnetic Waves,Fudan University,Shanghai 200433,China
  • 5 Hangzhou Institute of Technology,Xidian University,Hangzhou 311231,Zhejiang,China
  • 6 School of Electronic Engineering,Xidian University,Xian 710071,Shaanxi,China
  • 7 National Key Laboratory of Radar Signal Processing,Xidian University,Xian 710071,Shaanxi,China

Received date: 2025-02-22

  Online published: 2026-01-24

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摘要

本文针对动平台分布式雷达硬件资源受限时的协同探测需求展开研究,提出了一种基于节点自适应低比特量化的异构数据协同探测算法。首先,建立动平台分布式雷达自适应低比特量化的异构数据模型,推导关于目标多维未知状态与传播衰减的似然函数。其次,分析低比特量化非线性变换导致的多维未知参数耦合特性,构建其求解目标函数,设计基于批量梯度下降与差分进化算法的多维参数联合估计算法。最后,基于广义似然比检测(Generalized Likelihood Ratio Test,GLRT)准则推导动平台分布式雷达的异构检测器及其统计特性,设计恒虚警检测门限,论证系统的理论性能。通过两组仿真实验对应的数值计算结果证明所提方法的有效性和鲁棒性,验证了该算法具有广阔的应用前景。

关键词： 分布式雷达探测; 运动平台; 异构数据检测; 低比特量化

本文引用格式

姜夏宇 , 米晓林 , 姜昕悦 , 李西敏 , 杨诗兴 . 低比特量化异构数据协同探测算法[J]. 弹箭与制导学报, 2025 , 45(6) : 1231 -1239 . DOI: 10.15892/j.cnki.djzdxb.2025.06.034

Abstract

This paper addresses the target detection problem with distributed radar on moving platforms,where the hardware resources of each node and the transmission bandwidth are limited,and proposes a joint detection and estimation algorithm for hybrid data with adaptive low-bit quantization.Firstly,considering the distributed radar on moving platforms,with each node deploying an adaptive low-bit quantizer according to the resource constraints,we establish the hybrid low-bit quantized signal model,and derive the likelihood functions with respect to (w.r.t.) the unknown multi-dimensional target state,as well as the propagation attenuation.Secondly,we analyze the coupling characteristics among the multi-dimensional unknown parameters due to the non-linear transformation of low-bit quantization,where the objective function w.r.t.the coupled parameters is derived using the hybrid quantized data.Then,we design the joint estimation algorithm of the multi-dimensional parameters based on the designed batch gradient descent-differential evolution algorithm.Finally,following the Generalized Likelihood Ratio Test (GLRT) criterion,we design the hybrid detector for the distributed radar and derive its statistical characteristics,demonstrating the theoretical performance of the system,and then design the Constant False Alarm Ratio (CFAR) detection threshold accordingly.The numerical results of two simulation experiments prove the effectiveness and robustness of the proposed algorithm,and verify that the proposed algorithm has a broad application potentiality.

Key words： distributed radar detection; moving platforms; hybrid data detection; low-bit quantization

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