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Frontiers of Information Technology & Electronic Engineering
ISSN 2095-9184 (print), ISSN 2095-9230 (online)
2024 Vol.25 No.5 P.742-754
Target parameter estimation for OTFS-integrated radar and communications based on sparse reconstruction preprocessing
Abstract: Orthogonal time–frequency space (OTFS) is a new modulation technique proposed in recent years for high Doppler wireless scenes. To solve the parameter estimation problem of the OTFS-integrated radar and communications system, we propose a parameter estimation method based on sparse reconstruction preprocessing to reduce the computational effort of the traditional weighted subspace fitting (WSF) algorithm. First, an OTFS-integrated echo signal model is constructed. Then, the echo signal is transformed to the time domain to separate the target angle from the range, and the range and angle of the detected target are coarsely estimated by using the sparse reconstruction algorithm. Finally, the WSF algorithm is used to refine the search with the coarse estimate at the center to obtain an accurate estimate. The simulations demonstrate the effectiveness and superiority of the proposed parameter estimation algorithm.
Key words: Integrated radar and communications system; Orthogonal time–frequency space; Target parameter estimation; Sparse reconstruction; Weighted subspace fitting
Chinese Summary <1> 基于稀疏重构预处理的OTFS雷达通信一体化目标参数估计算法
江苏科技大学海洋学院，中国镇江市，212003
摘要：正交时频空间(orthogonal time-frequency space, OTFS)是近年来针对高多普勒无线场景提出的一种新的调制技术。针对OTFS雷达通信一体化系统的参数估计问题，本文提出一种基于稀疏重构预处理的参数估计方法，以降低传统加权子空间拟合(weighted subspace fitting,WSF)算法的计算量。首先，构建了OTFS一体化回波信号模型。然后，对回波信号进行时域变换，将目标角度与距离分离，利用稀疏重建算法对检测目标的距离和角度进行粗估计。最后，利用WSF算法以粗估计为中心对搜索进行细化，得到准确的估计。仿真实验证明了所提参数估计算法的有效性和优越性。
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DOI:
10.1631/FITEE.2300462
CLC number:
TN953
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On-line Access:
2024-06-04
Received:
2023-07-09
Revision Accepted:
2024-06-04
Crosschecked:
2023-11-24
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