RD DOMAIN PARAMETER ESTIMATION ALGORITHM FOR ISAC SYSTEM BASED ON ANM-ADMM

Integrated sensing and communications (ISAC) technology is an important research direction of the 6th generation (6G). Aiming at the problem that the accuracy of parameter estimation of multiple dynamic targets by existing subspace algorithms is limited by low signal-to-noise ratio (SNR) and few snapshots in the ISAC scenario, this paper proposes a gridless compressed sensing algorithm to estimate the rangedoppler (RD) domain parameters of the targets. Different from traditional methods, this algorithm can solve both on-grid and off-grid problems while realizing high precision parameter estimation. In order to reduce the computational complexity of the algorithm, a fast algorithm of the atomic norm minimization-alternating direction method of multipliers (ANM-ADMM) is proposed. Finally, the excellent performance of the proposed algorithm in RD domain parameter estimation is fully verified by a large number of simulation experiments.