Blind despreading and deconvolution of asynchronous multiuser direct sequence spread spectrum signals under multipath channels

In non-cooperative scenarios, the spreading sequences or waveforms of direct sequence spread spectrum (DSSS) signals is unknown to receiver. This paper focuses on addressing problem blind estimation waveform under multipath channels. scenario signal path transmission, can be directly obtained based estimated waveforms. However, in presence channels, becomes convolution and channel response, thus deconvolution should also performed after estimating order perform despreading asynchronous multiuser DSSS authors propose exploit finite symbol characteristics information then iterative least square with projection method adopted. Besides, Cramer-Rao bound derived such a circumstance as performance benchmark. The effectiveness proposed verified via simulation experiments.