A comparison of PSP-based array processors using structured and unstructured stochastic gradient estimators

We describe two algorithms for performing data detection and tracking of a multipath fading channel based on array measurements. Both of these algorithms are based on array measurements. Both of these algorithms are based on the concept of per-survivor processing and integrate the array combining and channel parameter estimation tasks into the trellis-based data detection process. One algorithm is based on explicitly estimating the angles of arrival and the multipath coefficients, while the other algorithm estimates only the overall array impulse response. Simulation results are presented that suggest that significant gains in the ability to track channel dynamics are realized using arrays-in addition to a significant SNR gain. An approximate analysis is developed to evaluate the performance of these algorithms. The robustness of both algorithms to variation in the modeled and actual channel conditions is also investigated.