Detection, Synchronization, Channel Estimation and Capacity in UWB Sensor Networks using Compressed Sensing

Detection, Synchronization, Channel Estimation and Capacity in UWB Sensor Networks using Compressed Sensing by Shao-Yuan Chen Chair: Wayne E. Stark Conventional receivers in ultrawideband (UWB) communication system usually require high sampling rate and thus consume much power. With compressed sensing (CS), the sampling rate can potentially be reduced. In this thesis, the performance of CS used in a UWB receiver is evaluated. Using a compressed sensing approach, the receiver consists of a number of analog correlators that process the received signal by projecting the received signal using random (or pseudo random) vectors. Considering the practical implementation in the receiver, the orthogonal Hadamard vectors in the correlators are adopted. After projection, the matching pursuit or basis pursuit is used to obtain the channel estimate. The recovered channel templates are then correlated with received signal to detect the transmitted information bits. The bit error rate (BER) performance of systems with different number of pilots, projection vectors, and fingers in a rake receiver is also evaluated. Moreover, the performance of different receivers and the effect of the finite bit resolution on channel estimation is investigated. It is shown that the sampling rate can be reduced significantly with only a slight degradation in performance when a compressed projection