Efficient tensor model‐Toeplitz matrix iterative reconstruction for angle estimation with nested array

Author:

Zhan Chenghong1ORCID,Hu Guoping2,Zhao Fangzheng1,Zhou Hao2

Affiliation:

1. Graduate College Air Force Engineering University Xi'an China

2. Air and Missile Defense College Air Force Engineering University Xi'an China

Abstract

AbstractThis letter proposes an efficient tensor model for Direction of Departure (DOD) and Direction of Arrival (DOA) estimation based on bistatic nested Multiple‐Input Multiple‐Output (MIMO) radar. Tensor offers a robust solution in characterizing multi‐dimensional data structures, ensuring data integrity, and has demonstrated remarkable effectiveness in the realm of multi‐dimensional parameter estimation. However, the complexity of traditional methods for constructing tensors is a major obstacle to practical applications. In response, this research introduces a novel approach that utilizes an iterative two‐dimensional Toeplitz matrix reconstruction method to rapidly derive expanded virtual covariance matrices prior to tensor construction. This streamlines the algorithm and improves efficiency. Numerical simulations have verified the superiority of this algorithm.

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Expanded Nested MIMO Radar for DOD and DOA Estimation Based on Tensor Model;2024 4th International Conference on Information Communication and Software Engineering (ICICSE);2024-05-10

2. Toeplitz Matrix Reconstruction Algorithm for Rectangular Hollow Array;International Journal of Antennas and Propagation;2024-01

3. Tensor‐based matched‐field processing applied to the SWellEx‐96 data;Electronics Letters;2023-11

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