Parameter Estimation Algorithm for Bistatic FDA-MIMO Radar Based on Tensor Framework

GUO Yue-hao; WANG Xian-peng; LAN Xiang; SU Ting

doi:10.12263/DZXB.20230172

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Parameter Estimation Algorithm for Bistatic FDA-MIMO Radar Based on Tensor Framework

PAPERS | 更新时间：2025-12-11

- Parameter Estimation Algorithm for Bistatic FDA-MIMO Radar Based on Tensor Framework
- ACTA ELECTRONICA SINICA Vol. 52, Issue 6, Pages: 2103-2111(2024)
- 作者机构：
  
  1.海南大学信息与通信工程学院，海南海口 570228
  2.海南大学南海海洋资源利用国家重点实验室，海南海口 570228
- 作者简介：
- 基金信息：
  
  Major Science and Technology Plan of Hainan Province(ZDKJ2020010);National Natural Science Foundation of China(61961013;62101088;62101165);Natural Science Foundation of Hainan Province(620RC555)
- DOI：10.12263/DZXB.20230172
  CLC： TN958;
- Received：28 February 2023，
  
  Revised：2023-11-10，
  
  Published：25 June 2024
- 稿件说明：
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国月皓,王咸鹏,兰翔,等.张量框架下双基地FDA-MIMO雷达参数估计算法[J].电子学报,2024,52(06):2103-2111.

GUO Yue-hao, WANG Xian-peng, LAN Xiang, et al.Parameter Estimation Algorithm for Bistatic FDA-MIMO Radar Based on Tensor Framework[J].Acta Electronica Sinica, 2024, 52(06): 2103-2111.
国月皓,王咸鹏,兰翔,等.张量框架下双基地FDA-MIMO雷达参数估计算法[J].电子学报,2024,52(06):2103-2111. DOI：10.12263/DZXB.20230172

GUO Yue-hao, WANG Xian-peng, LAN Xiang, et al.Parameter Estimation Algorithm for Bistatic FDA-MIMO Radar Based on Tensor Framework[J].Acta Electronica Sinica, 2024, 52(06): 2103-2111. DOI：10.12263/DZXB.20230172

摘要

频控阵（Frequency Diversity Array，FDA）雷达于2006年由Antonik和Wicks提出.由于FDA雷达每个相邻的天线之间存在一个频率偏移，因此在发射阵列存在距离角度二维依赖性.而对于双基地频控阵多输入多输出（FDA-Multiple Input Multiple Output，FDA-MIMO）雷达而言，在导向矢量中耦合了波离方向、到达方向、距离（Direction Of Departure-Direction Of Arrival-range，DOD-DOA-range）三个信息，如何对三者信息进行解耦便成为研究的重点.本文针对双基地FDA-MIMO雷达的目标参数估计问题，提出了一个张量框架下的降维多重信号分类（Reduced-Dimension MUltiple SIgnal Classification，RD-MUSIC）的参数估计算法.首先，为了将发射阵列中的DOD和距离信息进行解耦，需要对发射阵列进行子阵的划分.紧接着利用高阶奇异值分解（High-Order-Singular Value Decomposition，HOSVD）算法获得信号子空间，并构建二维空间谱函数.其次，通过拉格朗日算法对空间谱进行降维，使其仅与DOA有关，从而得到DOA估计.然后利用子阵之间的频率增量来对DOD和距离信息进行解耦，同时消除相位模糊，最终得到与DOA估计自动匹配的DOD和距离估计.所提算法利用高维数据的多维结构提高了估计精度，同时能够有效地降低运算复杂度.数值实验证明了所提算法性能的优越性.

Abstract

Frequency diversity array (FDA) radar was proposed by Antonik and Wicks in 2006. Since there is a frequency offset between each adjacent antenna of FDA radar

there exists two-dimensional dependence on range and angle in the transmitting array. For bistatic FDA-multiple input multiple output (MIMO) radar

direction of departure (DOD)- direction of arrival (DOA)-range information is coupled in the transmitting steering vector. How to decouple the three information has become the focus of research. In this paper

aiming at the problem of target parameter estimation of bistatic FDA-MIMO radar

a reduced-dimension multiple signal classification (RD-MUSIC) parameter estimation algorithm based on tensor framework is proposed. Firstly

in order to decouple the DOD and range information in the transmitting array

it is necessary to divide the transmitting array into subarrays. Then the signal subspace is obtained by high-order-singular value decomposition

and the two-dimensional spatial spectral function is constructed. Secondly

the dimension of spatial spectrum is reduced by Lagrange algorithm

so that it is only related to DOA

and the DOA estimation is obtained. Then the frequency increment between subarrays is used to decouple the DOD and range information

and eliminate the phase ambiguity at the same time. Finally

the DOD and range estimation automatically matched with DOA estimation are obtained. The proposed algorithm uses the multidimensional structure of high-dimensional data to improve the estimation accuracy. Meanwhile

the proposed RD-MUSIC algorithm can effectively reduce the computational complexity. Numerical experiments show the superiority of the proposed algorithm.

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references

FISHLER E , HAIMOVICH A , BLUM R , et al . MIMO radar: An idea whose time has come [C ] // Proceedings of the 2004 IEEE Radar Conference . Piscataway : IEEE , 2004 : 71 - 78 .

王咸鹏 , 国月皓 , 黄梦醒 , 等 . 互耦条件下MIMO雷达非圆目标稳健角度估计方法 [J ] . 通信学报 , 2019 , 40 ( 7 ): 144 - 150 .

WANG X P , GUO Y H , HUANG M X , et al . Robust angle estimation method for noncircular targets in MIMO radar with mutual coupling [J ] . Journal on Communications , 2019 , 40 ( 7 ): 144 - 150 . (in Chinese)

WANG X P , YANG L T , MENG D D , et al . Multi-UAV cooperative localization for marine targets based on weighted subspace fitting in SAGIN environment [J ] . IEEE Internet of Things Journal , 2022 , 9 ( 8 ): 5708 - 5718 .

张正言 , 张剑云 , 郑志东 , 等 . 低信噪比双基地MIMO雷达目标角度跟踪算法 [J ] . 电子学报 , 2019 , 47 ( 12 ): 2480 - 2487 .

ZHANG Z Y , ZHANG J Y , ZHENG Z D , et al . Target angle tracking algorithm of bistatic MIMO radar with low signal-to-noise ratio [J ] . Acta Electronica Sinica , 2019 , 47 ( 12 ): 2480 - 2487 . (in Chinese)

ANTONIK P , WICKS M C , GRIFFITHS H D , et al . Frequency diverse array radars [C ] // 2006 IEEE Conference on Radar . Piscataway : IEEE , 2006 : 3pp.

XU J W , LIAO G S , ZHU S Q , et al . Joint range and angle estimation using MIMO radar with frequency diverse array‍ [J ] . IEEE Transactions on Signal Processing , 2015 , 63 ( 13 ): 3396 - 3410 .

HAIMOVICH A M , BLUM R S , CIMINI L J . MIMO radar with widely separated antennas [J ] . IEEE Signal Processing Magazine , 2007 , 25 ( 1 ): 116 - 129 .

LI J , STOICA P . MIMO radar with colocated antennas [J ] . IEEE Signal Processing Magazine , 2007 , 24 ( 5 ): 106 - 114 .

陈宝欣 , 关键 , 董云龙 , 等 . 多频连续波雷达与角度-距离联合估计方法 [J ] . 电子学报 , 2020 , 48 ( 2 ): 375 - 383 .

CHEN B X , GUAN J , DONG Y L , et al . Multiple-frequency CW radar and joint angle-range estimation method [J ] . Acta Electronica Sinica , 2020 , 48 ( 2 ): 375 - 383 . (in Chinese)

GUO Y H , WANG X P , LAN X , et al . Traffic target location estimation based on tensor decomposition in intelligent transportation system [J ] . IEEE Transactions on Intelligent Transportation Systems , 2024 , 25 ( 1 ): 816 - 828 .

WANG Y B , WANG W Q , SHAO H Z . Frequency diverse array radar Cramér-Rao lower bounds for estimating direction, range, and velocity [J ] . International Journal of Antennas and Propagation , 2014 , 2014 : 830869 .

许京伟 , 廖桂生 , 张玉洪 , 等 . 波形分集阵雷达抗欺骗式干扰技术 [J ] . 电子学报 , 2019 , 47 ( 3 ): 545 - 551 .

XU J W , LIAO G S , ZHANG Y H , et al . On anti-jamming technique with waveform diverse array radar [J ] . Acta Electronica Sinica , 2019 , 47 ( 3 ): 545 - 551 . (in Chinese)

XIONG J , WANG W Q , GAO K D . FDA-MIMO radar range-angle estimation: CRLB, MSE, and resolution analysis [J ] . IEEE Transactions on Aerospace and Electronic Systems , 2018 , 54 ( 1 ): 284 - 294 .

YAN Y S , CAI J Y , WANG W Q . Two-stage ESPRIT for unambiguous angle and range estimation in FDA-MIMO radar [J ] . Digital Signal Processing , 2019 , 92 : 151 - 165 .

LIU F L , WANG X P , HUANG M X , et al . Joint angle and range estimation for bistatic FDA-MIMO radar via real-valued subspace decomposition [J ] . Signal Processing , 2021 , 185 : 108065 .

XU T X , WANG X P , SU T , et al . Vehicle location in edge computing enabling IoTs based on bistatic FDA-MIMO radar [J ] . IEEE Access , 1809 , 9 : 46398 - 46408 .

YAO A M , ROCCA P , WU W , et al . Synthesis of time-modulated frequency diverse arrays for short-range multi-focusing [J ] . IEEE Journal of Selected Topics in Signal Processing , 2017 , 11 ( 2 ): 282 - 294 .

CHEN K J , YANG S W , CHEN Y K , et al . Accurate models of time-invariant beampatterns for frequency diverse arrays [J ] . IEEE Transactions on Antennas and Propagation , 2019 , 67 ( 5 ): 3022 - 3029 .

XU J W , LIAO G S , ZHU S Q , et al . Deceptive jamming suppression with frequency diverse MIMO radar [J ] . Signal Processing , 2015 , 113 : 9 - 17 .

SHAO H Z , LI X , WANG W Q , et al . Time-invariant transmit beampattern synthesis via weight design for FDA radar [C ] // 2016 IEEE Radar Conference (RadarConf) . Piscataway : IEEE , 2016 : 1 - 4 .

KOLDA T G , BADER B W . Tensor decompositions and applications [J ] . SIAM Review , 2009 , 51 ( 3 ): 455 - 500 .

ZHANG X D . Matrix Analysis and Applications [M ] . Cambridge : Cambridge University Press , 2017 .

ZHANG X F , XU L Y , XU L , et al . Direction of departure (DOD) and direction of arrival (DOA) estimation in MIMO radar with reduced-dimension MUSIC [J ] . IEEE Communications Letters , 2010 , 14 ( 12 ): 1161 - 1163 .

LI B B , BAI W X , ZHENG G M . Successive ESPRIT algorithm for joint DOA-range-polarization estimation with polarization sensitive FDA-MIMO radar [J ] . IEEE Access , 2018 , 6 : 36376 - 36382 .

GUI R H , WANG W Q , CUI C , et al . Coherent pulsed-FDA radar receiver design with time-variance consideration: SINR and CRB analysis [J ] . IEEE Transactions on Signal Processing , 2018 , 66 ( 1 ): 200 - 214 .

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