Joint Transmit Waveform and Receive Filter Design for ISAC System with Jamming

TL;DR

The paper tackles ISAC under jamming by formulating a joint transmit waveform and receive filter design to minimize multiuser interference $\|\boldsymbol{\Xi}\|_F$ while enforcing radar beampattern constraints and a transmit-power limit $P_t$. It introduces two ADMM-based schemes, JTMD (matched-filter) and JTMMD (mismatched-filter), that iteratively optimize $\boldsymbol{X}$ and the receive filters, with target count and range/angle estimation embedded in the process. Simulation results show both schemes achieve near-zero MUI and superior radar beampattern performance compared to a baseline, with JTMMD providing the best weak-target detection capability. The proposed framework offers robust ISAC operation in complex electromagnetic environments with jamming, leveraging joint optimization to balance sensing and communication requirements while mitigating ISRJ effects.

Abstract

In this paper, to suppress jamming in the complex electromagnetic environment, we propose a joint transmit waveform and receive filter design framework for integrated sensing and communications (ISAC). By jointly optimizing the transmit waveform and receive filters, we aim at minimizing the multiuser interference (MUI), subject to the constraints of the target mainlobe, jamming mainlobe and peak sidelobe level of the receive filter output as well as the transmit power of the ISAC base station. We propose two schemes to solve the problem, including joint transmit waveform and matched filter design (JTMD) and joint transmit waveform and mismatched filter design (JTMMD) schemes. For both schemes, we adopt the alternating direction method of multipliers to iteratively optimize the transmit waveform and receive filters, where the number of targets as well as the range and angles of each target can also be estimated. Simulation results show that both the JTMD and JTMMD schemes achieve superior performance in terms of communication MUI and radar detection performance.

Figures (4)

• Figure 1: Illustration of ISAC system with jamming.
• Figure 2: Comparisons of the sidelobe levels under the same mainlobe level.
• Figure 3: Comparisons of weak target detection for different schemes.
• Figure 4: Comparisons of the probability of detection versus SNRs.