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This paper investigates a new method based on promoted probability hypothesis density (PHD) filtering to simultaneously track several moving targets in data received by synthetic aperture radar (SAR) in spotlight imaging mode. Simultaneous tracking of several targets in the presence of high‐density clutters in environment, as the particular capability of the PHD filter, has turned it into a robust approach in SAR to track moving targets. Given the PHD filter function as a sequence of prediction and update steps, it is more reasonable to apply the approach to the data received by the SAR in spotlight imaging mode; however, according to the specified system parameters, such method is not impossible to be implemented using the Stripmap imaging mode. According to simulation results, applying Range Cell Migration Compensation to the raw data received by SAR before tracking operation results in high‐quality tracking of moving targets.

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Using Probability Hypothesis Density (PHD) filtering, a novel approach is proposed in this paper for simultaneous tracking of multiple moving targets in received data by Inverse Synthetic Aperture Radar (ISAR) system. Since PHD filtering approach is implemented successively in prediction and update steps, its performance quality will obviously be higher in “Spotlight” imaging mode than in “Stripmap”. Thus, its application to Spotlight mode is generally more logical. The idea to integrate tracking capability into ISAR system processor is to sort radar received data to correct Range Cell Migration (RCM) prior to tracking operations. Clearly, Range Cell Migration Compensation (RCMC) approach is different from this approach in image formation process, in terms of their implementation phase. However, they are implemented in a similar way. As simulation results reveal, applying Range Cell Migration Compensation to the raw data received by ISAR before tracking operation, results in high quality tracking of moving targets.