A new sequential Monte Carlo algorithm for distributed blind equalization

This article describes a new distributed blind equalization algorithm based on particle filters suitable for CDMA systems operating on frequency-selective channels. The proposed approach processes the signal received by multiple receivers in a non-centralized fashion, determining approximately optimal estimates (MAP) of the transmitted symbols, which minimizes the expected error rate. The described receiver structure dispenses with the need of a data fusion center, and is capable of operating either independently or in cooperation with other receivers. As we verified via numerical simulations, cooperative operation leads to a significant performance improvement, without substantially increasing the algorithmpsilas computational complexity.