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22 October 1993 Multiple model estimation for control of a phased array radar
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Since phased array radars have the ability to perform adaptive sampling by the radar beam, proper control of the radar has the potential for significantly improving many aspects associated with the tracking of multiple maneuvering targets. The technique proposed in this paper uses the Interacting Multiple Model (IMM) algorithm to track maneuvering targets and control the sampling time and energy levels. Since the output of the IMM algorithm better represents the accuracy of the state estimates during a maneuver than a single model filter, the IMM algorithm is used to compute and on-line measure of tracking performance to determine the scheduling time of the next track update sample period in order to maintain a given level of performance. The sample time is computed as the one positive root of a polynomial equation of the sample period. The model probabilities of the IMM algorithm are also used to schedule the energy level of a radar dwell. As a result, the update times for the filter are a function of track filter performance and the target trajectory. Algorithms for computing the sample time and energy level using the output of the IMM algorithm are developed in this paper. Performance comparisons are given for the IMM algorithm using constant data rates, scheduled energy levels, and adaptive data rates.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gregory A. Watson and W. Dale Blair "Multiple model estimation for control of a phased array radar", Proc. SPIE 1954, Signal and Data Processing of Small Targets 1993, (22 October 1993);

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