An Efficient NS-ADMM Detection for Uplink MIMO-ISAC Systems

Next-generation wireless communication systems are unifying massive MIMO and integrated sensing and communication (ISAC) to enhance sensing and communication performance simultaneously. In this paper, the signal detection problem for MIMO-ISAC systems is modeled as a mixed-integer least squares problem (MILSP). To solve it in an efficient way, an iterative algorithm combining alternating direction method of multipliers (ADMM) and neighborhood search (NS) technique is proposed, which is named as NS-ADMM. Specially, at each iteration, the output of ADMM serves for the following neighborhood search to achieve the extra performance gain. Moreover, a flexible mechanism of ADMM iterations is also given for a better estimation of the sensing signals. Finally, simulations demonstrate the proposed NS-ADMM algorithm has significant performance advantages with low computational complexity.