Research Of Blind Channel Estimation And Equalization In UGS

Wireless sensor network technology usually deploy a number of sensors in the target area toobtain the desired target. In order to overcome the influence of Intersymbol Interference, wecould use blind equalization algorithm.This thesis studies the signal processing for theUnattended Ground Sensor system,the research work can be summarized as follows:(1) We study the basic concept and structure of blind equalizer,blind adaptive equalization,the performance analysis of blind equalization algorithm,and an overview of the wireless sensornetworks and their applications in the military.(2) We study the model of signal and system of Unattended Ground Sensor.Then thecross-correlations between neighborhood sensor nodes is introduced,and based on it,we analysisthe feasibility of blind channel estimation and equalization for UGS systems.(3) For sensor node to sensor node system(P2P), this thesis gives an blind channelidentification and equalization algorithm applied to the the Unattended Ground Sensor system onthe basis of the classic TXK algorithm, and give a new algorithm called TXK_P. For a differenttransmission signal conditionsin in this environment, we compare the classic literature TXKalgorithm and TXK_P to prove applicability of the algorithm.(4) We introduce a multi-sensor nodes in Unattended Ground Sensor networks(S2P),analysis the characteristics between the adjacent sensors of the same cluster having a highcorrelation, and give an blind channel estimation and equalization algorithm for multi-sensornodes in Unattended Ground Sensor networks based on cross-correlations between sensor nodes.Simulation results show that the algorithm not only apply to the system, but also have goodperformance in the normalized mean square error and the error rate performance.