Real-Time Data Compression Bias Estimation on Netted Radar

摘要：

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.

关键词： Registration Real-Time Data Compression Netted Radar

作者: Li Da Zhang Fan

作者单位: Department of Electronics and Information Engineering Huazhong University of Science and Technology College of Infomation Science & Technology Beijing University of Chemical Technology North Third Rin

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 2152-2155

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）