An Emulation Method of Sensor Clutter Plots Elimination Using Statistical Characteristics Analysis
Zhong Hong Wu, Zhang Song Shi, Zhao Ming Shi, Ying Hua Lv · Applied Mechanics and Materials · 2012
Aiming at problem about real-time processing power is poorer as the cause of too many clutter plots in multisource information fusion conditions when traditional information algorithm is used, method of sensor clutter elimination based on statistical characteristics analysis is put forward. Firstly, statistical characteristics of clutter plots are extracted, calculated and analyzed. Secondly, in combination with the advantages of multi-sensor detection, the plots of real-target have been filtered according to certain threshold values and safeguarded. Finally, a specific simulation experiment is given. Experiment shows this method can achieve the real-time processing power effectively.