Coupled Block-Term Tensor Decomposition for Near-Field Localization in multi-static MIMO Radar Systems
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)(2024)
Abstract
This paper presents a high-resolution coupled rank-(L
r
,L
r
,1) block-term decomposition-based near-field localization scheme for multi-static MIMO radar systems. The proposed COBRAS (COupled Block-term decomposition for multi-static RAdar Systems) algorithm uses the exact wavefront model to estimate the target location parameters in 3D space and can be applied to arbitrary array geometries. Compared to the far-field models, the exact near-field wavefront model allows exploiting the distance information for high-accuracy positioning. Moreover, we consider a system with massive antenna arrays, which increases the Fresnel region and expands the range of the near-field assumption. The COBRAS algorithm includes the initial tensor decomposition of the data and further post-processing steps that allow extracting the location parameters. Additionally, we compare the performance of different rank-(L
r
,L
r
,1) block-term decomposition algorithms and demonstrate how the employment of coupling improves the localization performance compared to the non-coupled solutions.
MoreTranslated text
Key words
Near-field,spherical wavefront,MIMO radar,block-term decomposition,data fusion
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined