Advanced Communications Knowledge (ACK), in collaboration with BAE Systems Information and Electronic Warfare Systems (IEWS) and Professor Gregory Wornell of MIT, will develop a theoretical and practical approach to solving adaptive, blind detection, channel identification and equalization for asynchronous code-division multiple access (CDMA) systems where there is little or no a priori knowledge of the signature waveforms. A multiuser, multiple-antenna architecture model will be developed in MATLAB and will be used to evaluate the performance achieved by this new approach. Key to this approach will be the application of iterative decision-directed multiuser decoding algorithms developed at MIT which will be adapted to the case where there is no training signal and the signature waveforms are unknown. A key benefit of our technique is that it is of sufficiently low complexity to enable a real-time FPGA implementation that will scale with improving technology. Development of this technology will enable a greatly enhanced signal intelligence capability to the warfighter. Advanced real-time, low complexity eavesdropping of asynchronous CDMA provides enhanced SIGINT capabilities
