The Kalman filter for linear estimation and the extended Kalman filter for nonlinear estimation are the most typical complex and precise algorithms used for target tracking. But, for multi-target tracking (MTT) radar systems, the computational time for calculating the Kalman-filter-based algorithms in software is too long to meet today's warfare needs. The FPGA-based reconfigurable Kalman filtering coprocessor for MTT systems has been proposed. A fully-hardware-type maximum parallel FPGA-based Kalman tracking filtering coprocessor in a track-while-scan (TWS) radar system has been designed and presented. The performance gained in our approach includes two to three orders of magnitude higher speed than other implementations.
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