Studying Of Multi-Sources Detecting Methods For Towed Fishery Detector In Horizontality

With the development of oceanic fish culture exploitation, research of fishery detector has become a hotspot for scholars both in China and overseas. To develop a kind of algorithms and softwares for fishery detector is of great significance at present. There are already numbers of algorithms for target detection, but there are a lack of applied and convenient softwares and equipments. Therefore, software based on DOA estimation of multi-objective for fishery detector is researched in this paper.Primarily, the equipments of fishery detector and signal processing methods are introduced in the first part. Theories of DOA estimation of multi-objective by vector sensors are described. The coherence analysis of the sound field using prssure and particle velocity combined processing is discussed, based on which the correlation equations including the direction multi-objective of are derived. Genetic algorithms for solving nonlinear equations are researched, including the Niche Genetic Algorithm and the Differential Evolution Algorithm. The performances of the two algorithms are compared and the differential evolution algorithm is applied to the DOA estimation of multi-objective.Secondly, data acquisition and processing at real time using VC++ are realized, and some issues that should be noticed during the process are pointed out. At the same time, the collocating methods of the fishery detector equipments and the acquisition boards are presented. And the mixed programming technology for MATLAB and VC++ is introduced. A graphic showing interface is constructed, which can accomplish data acquisition, display of signal wave form, plot of DOA estimation fighres.Finally, simulation of the algorithms and experimental data processing are finished in the last part of the paper. The high consistent between the simulated and experimental results indicate that the software and algorithms given in this paper are valid and effective.