Sensing-Aware Transmit Waveform/Receive Filter Design for OFDM-MBS Systems

TL;DR

This paper proposes a joint design scheme for OFDM waveforms and receive filters in MBS systems to improve sensing performance by reducing sidelobe levels, addressing practical constraints, and validating effectiveness through simulations.

Contribution

It introduces an alternating optimization algorithm for joint OFDM sequence and filter design, optimizing sensing performance under realistic constraints.

Findings

Significant sidelobe level reduction compared to traditional methods

Enhanced radar detection capability for weak targets

Validated effectiveness through numerical simulations

Abstract

In this letter, we study the problem of cooperative sensing design for an orthogonal frequency division multiplexing (OFDM) multiple base stations (MBS) system. We consider a practical scenario where the base stations (BSs) exploit certain subcarriers to realize a sensing function. Since the high sidelobe level (SLL) of OFDM waveforms degrades radar detection for weak targets, and the cross-correlation generated by other BSs further exacerbates detection performance, we devise a joint design scheme for OFDM sequence and receive filter by minimizing the integrated sidelobe level (ISL) while satisfying mainlobe level, peak-to-average power ratio (PAPR) and spectrum allocation constraints. To address this non-convex problem, we propose an alternating optimization (AO)-based algorithm. Numerical simulations validate the effectiveness of the proposed method, demonstrating the superiority of SSL reduction in the MBS system over the matched filtering method.