Measurement Preprocessing Techniques
He You, Xiu Jianjuan, Xin Guan · 2016
This chapter discusses time registration, space registration, outlier elimination, radar error calibration, and data compression in measurement preprocessing techniques. In a multi-target tracking system, any observation model is established according to state-space models, therefore, proper selection of coordinate systems is very important, which directly affects tracking accuracy and computational complexity. In radar data processing systems, techniques like radar error calibration and data compression are closely associated with practical engineering. Effective radar error calibration and data compression techniques can increase target tracking accuracy and reduce the computational complexity of the system. The chapter presents some frequently used coordinate systems related to radar measurement or data processing. Radar calibration methods widely adopted include static active and passive cooperative calibration, and non-cooperative calibration. Space registration involves the selection of coordinate systems, which directly influences the tracking result of the whole system. These techniques work well in reducing computational complexity and improving tracking efficiency.