Real-time data compression bias estimation on netted radar

Interest in netted radar has grown tremendously in the last few years, and registration is the necessary process of radar network system. A real-time data compression Kalman filter registration algorithm is presented to correct the dynamic systematic errors based on local measurements. It is accomplished by constructing pseudomeasurements of the radar biases with additive zero-mean, white noises. Then the netted radar bias estimates are obtained dynamically by employing data compression Kalman filter algorithm. Finally, Monte Carlo simulations are employed to evaluate the performance of the proposed algorithm. Results show that the new algorithm is efficient.