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Journal of Projectiles, Rockets, Missiles and Guidance >

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

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

Academic article

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, *
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  • 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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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

Cite this article

JIANG Xiayu , MI Xiaolin , JIANG Xinyue , LI Ximin , YANG Shixing . Joint Detection and Estimation with Hybrid Low-Bit Quantizated Signals[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2025 , 45(6) : 1231 -1239 . DOI: 10.15892/j.cnki.djzdxb.2025.06.034

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