A Waveform Design for MIMO Sensing on Two-Dimensional Arrays with Sparse Estimation

Author:

Liu Yiwen1,Pan Chong2,Liu Xiaolong2ORCID,Zhu Ying2,Liu Yifu1

Affiliation:

1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

2. China Academy of Information and Communications Technology, Beijing 100191, China

Abstract

With the increasing demand for target sensing in future mobile communication networks, integrated sensing and communications (ISAC) not only brings new system architecture and multi-functional integration, but also introduces new challenges. In order to further reduce the data volume of the sensing system signal processing, this paper proposes a waveform optimization design method and target parameter estimation technique for a compressed sensing multiple-input multiple-output (MIMO) radar based on a 2D antenna array. This scheme enables accurate estimation of target angles in the sparse time-domain sampling scenario and L-shaped antenna array. In this paper, extensive simulation results demonstrate the good performance of the proposed scheme for various compression ratios and signal-to-noise ratios (SNRs).

Funder

National Key R&D Program of China

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

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