An efficient blind parameter estimating and detecting algorithm for DSSS signals

The Direct Sequence Spread Spectral (DSSS) communication system has been widely used in military and civilian fields because of its high processing gain, strong ant-jamming and anti-probed capacity, and low intercepted probability. In this paper, an efficient blind parameter estimating and detecting algorithm is proposed, which takes advantage of the autocorrelation property of pseudo random code. In this algorithm, the input data is first divided into several blocks, and then the correlation between blocks is worked out. By changing the length of the blocks, a series of different correlation values is obtained. The crest value appears at the period of pseudo random code, and it is utilized to determine whether the DSSS signal exists or not and to estimate the signal´s parameters in terms of the interval of crest value. The simulation results demonstrate the good performance of the proposed algorithm.