Joint Estimation and Detection algorithm for Co-Channel signals in randomly distributed sensor array

Instead of using a single large aperture antenna to implement track and commute with spatial targets, array-based receiving architecture is quickly becoming an attractive approach due to its low cost, flexibility and robustness. In this paper, we consider a scene in which multiple receiving sensors are randomly distributed. Two co-channel signals from different sources with the same carrier frequency and modulation form are received by all the sensors simultaneously. Mutual interference inserted in the receivers makes it more intractable for both parameter estimation and symbol detection. A novel method in which estimation for unknown parameters like phase offsets and time delays are jointly processed among all the sensors is proposed. Two different detection mechanisms are analyzed and compared. Simulation results show that proposed algorithm outperforms the existing techniques in estimation accuracy and demodulation performance.