Wireless Communication Receivers Research Articles

Neural network-based receiver for wireless communications

A novel approach, based on neural networks, for the design of a receiver for TDMA wireless communications is described. The receiver utilises three functional blocks: time-frequency analysis, feature extraction, and pattern classification. Computer simulation results are presented comparing the performance of the new receiver against a conventional MSK receiver for a Rayleigh fading multipath channel. The results show that the new receiver is capable of achieving a performance comparable to that of the MSK receiver without the regular transmission of a training sequence.

A photoconductive correlation receiver for time-hopped wireless spread-spectrum radio

We present the first demonstration of a new receiver for digital time-hopped spread-spectrum wireless communications. The time-hopped system is based upon the transmission of short radio frequency (RF) pulses with bandwidths exceeding 200 MHz. The new receiver used photoconductive switching to perform front-end correlated reception. This type of receiver was designed to provide a large dynamic range in the presence of noise and interference. Results show a bit error rate of better than 10/sup -7/ at a 250-kB/s data rate.