Detection of DS &FH hybrid Spread Spectrum Signal in TT & C communication

The signal noise ratio of direct sequence and frequency hopping hybrid Spread Spectrum Signal is very low, especially in the field of Tracking Telemetry and command. In order to detect them, a hybrid detection algorithm is given, in this algorithm, an adaptive filter is applied to improve the SNR at first, then the signal filtered is sent to delay multiplied unit, at last, this unit´s output signal is divided into several segments and self-correlation. The hybrid spread spectrum signal rate can be gained by analyzing the spectrum of segmented self-correlation signal. This hybrid algorithm has been successfully used to detect direct sequence and frequency hopping hybrid spread spectrum signal, the results show that the hybrid detection algorithm can not only detect direct sequence and frequency hopping hybrid spread spectrum signal with lower signal noise ratio, but at the same time achieve the code rate.