Low-Complexity Angle Estimation for Integrated Sensing and Communication

Pedro Victor Martins Castro, Francisco R. P. Cavalcanti, Walter da Cruz Freitas Jr., Gabor Fodor

DOI: 10.14209/sbrt.2024.1571036691

Evento: XLII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2024)

Keywords: integrated sensing and communication (ISAC) multiple input multiple output (MIMO) multiple signal classification (MUSIC) orthogonal frequency division multiplexing (OFDM)

Abstract

This paper has two objectives. The first objective is to propose the creation of a codebook for low-complexity angular estimation of targets in a monostatic radar configuration employing a fifth generation (5G) physical layer based on multiple input multiple output orthogonal frequency division multiplexing. The second objective is to characterize the performance of the proposed angle estimation algorithm so as to verify its suitability for integrated sensing and communication under a resource allocation policy, based on the number of allocated subcarriers to the sensing task and a desired estimation accuracy. Comparisons with the classical multiple signal classification algorithm via simulations show that the proposed estimation algorithm achieves good overall accuracy with reduced computational complexity.

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