Detection and States Estimation of Multiple Mobile Targets in Wireless Sensor Network
By introducing a wireless fading model, we rebuild the perception model of a wireless sensor network. The profiles of a multi-target and multi-sensor mixing matrix at each frequency are estimated as samples of the spectrum superposition of multiple targets. A differential evolution approach is employed to separate multiple targets, at the same time, to decouple path fading and Doppler shifts in the frequency domain. Each column of the mixing matrix preserves the waveform that is formed by the effects of corresponding targets on nodes. Based on this modeling, the states of multiple targets, including the location, velocity, and motion direction are estimated.
multi-target Doppler Blind estimation Differential evolution
Changyin Sun Peng Zhang Qiuling Tang
School of Automation Southeast University,Nanjing, China School of Automation Southeast University,Nanjing, China;School of Computer Electronics and Informat
国际会议
南宁
英文
147-151
2010-10-13（万方平台首次上网日期，不代表论文的发表时间）