Detection and tracking of sophisticated targets involving increased resolution and the utility of synthetic aperture
transmitter windows require new and innovative approaches to active sensor technologies. The bistatic technique to
target tracking is extended to form a multistatic radar system using multiple and separate transmitters and receivers that
are designated sparsely located in a region. The fusion of the received data through the utility of a non-linear Kalman
filter technique is discussed to predict track through observations from the multistatic system. Target positions and
velocities are estimated and the error is shown to converge to zero. The Munkre algorithm is utilized for data and track
association to improve error minimization.