Realization Of Real-time Signal Processing Algorithms For The Buoy Of Passive Positioning System

Passive positioning in underwater acoustic has always been the focus of researchers. This high-speed passive target trace measurement system can measure the three-dimensional position of the movable target in real time. The underwater buoy part of system is a measuring array composed of four peripheral buoys and a center buoy. The main research work of the dissertation is designing and implementing the signal processing algorithms and some on-chip peripherals control on DSPs for the buoy system, which are the key technique in the system.Three signal processing algorithms inside the buoy in this measurement system have been discussed and implemented on DSPs in the paper, they are center buoy double-element estimation in unity and interface multi-path location method, which are used to measure the depth of target, and the histogram method to estimate the azimuth of target in real time. Time delay difference estimation in high precision is the base of the high-precision positioning for the target. Only a single acoustic vector sensor can give enough information to estimate the azimuth of the target by the histogram method. Each hydrophone calculates a result in a certain period, then all of the estimation results are passed to the base system on-ship by the wireless communication, with all the results the high- precision position of the target can be calculated jointly by the base system. There are three DSP boards in the signal processing part inside the buoy, and the main algorithms are implemented on the TMS320VC5509a DSPs.In the paper, lots of software simulation ,hardware emulation and debugging at lab have been done ,using the data measured from the experimentation on lake and sea ,A11 the algorithms and software are proved viable and credible.