Multistatic ISAC: Localization Accuracy Improvement in LoS/NLoS Scenario Using PRS

A major challenge for integrated sensing and communication (ISAC) systems is the degradation in localization accuracy caused by unfavorable propagation conditions, such as multipath effects and non-line-of-sight (NLoS) environments. These conditions can introduce outlier measurements that significantly affect localization performance. This paper explores ways to enhance target localization accuracy in multistatic ISAC systems under both line-of-sight (LoS) and NLoS conditions. We utilize the positioning reference signal (PRS) as the sensing signal. A new algorithm is proposed to improve localization accuracy by reducing the influence of outliers in range measurements and PRS range resolution. Finally, simulation results confirm the superiority of the proposed method compared to least squares (LS) method.