Research On Signal Detector Of Underwater Acoustic Remote-control System

Underwater acoustic remote-control devices are widely used in the region of the ocean engineering. Relative technology is developing to adapt the request for the higher performance of the devices. This dissertation is focus on the determined signal detection technology of the underwater acoustic remote-control device. This technology, which takes charge of detecting the wake and distorted signal from the noises in ocean, designing detector with high performance according to determined signal waveform and the character of channels and improving processing gain of system, is the key technology of receiving the instruction signal correctly and assuring the reliability of the system.The optimum likelihood ratio processor for ideal channels, time spreading distortion channels and fast fading distortion channels are replica correlation detector, replica correlation integration processor and segmented replica correlation detector, respectively. Their outputs have diverse chi-square distribution. This paper calculates the probability density function of detector output without signal and finds the threshold of each receiver in given probability of error alarm in order to deduce the detective probability density function and equation when signals are detected. Then this paper obtains the optimum arithmetic for the underwater acoustic remote system and applies academic support for programming.This dissertation realized the correlation detective algorithm in CCS exploitation environment. Then the complication of the algorithm was analyzed to make it more concise and effective. The program is run correctly in DSP. At last the algorithm was programmed and realized in VC to afford convenience for observing and optimizing the algorithm.