Research Of Multibeam Sonar Snippet Imaging Algorithm And Its Implementation On DSP

With the advantage of high accuracy and wide range of measurement, multi-beam sonar detected an increasingly important position in the seabed terrain detection. But with the development of technology, the function of the multi-beam sonar is not limited to probing seabed terrain,in terms of seabed geomorphology detection has also been considerable progress. In the early multi-beam imaging algorithm, each beam can only estimate the backscatter intensity of a detection point, so that not only the imaging is low-resolution,for the utilization of the receive back beam the output signal is very low, waste a lot of effective information.In order to solve the above proposed the problems of low resolution of imaging and low utilization of information, and the inconvenient in terrain information fusionin, in this paper,research for a more high resolution multi-beam sonar snippet imaging algorithm and it’s DSP implementation. Calculation the Time of-Arrival(TOA) and Degree of-Arrival(DOA) of each beam axis direction are estimated by using the weight mean time(WMT) algorithm of multi-beam sonar, then, intercept the time series of the echo output of each beam to get the snippet, and sample the snippet to get the echo intensity sample, and calculate each echo intensity sample, finally, calculate the backscatter intensity of each detection point, horizontal displacement, angle of incidence and other information, so that in each beam footprint, we can get backscatter intensity values of multiple detection points, we can achieve purpose to improve imaging resolution. In the process of solving the backscatter intensity of various detection points, and analyze the backscatter intensity affect factors measurement process, and propose the correction method.While the theoretical analysis, simulation study the multi-beam Snippet imaging algorithm by processing the experimental data, to verify the effectiveness of the algorithm,and process the measurement data of the entire band to produce the multi-beam sonar images reflecting the characteristics of underwater topography. Finally, transplantation the imaging algorithms to DSP signal processing platform, validation and optimization of the algorithm program to ensure the accuracy and timeliness.