Imaging algorithm research of helmet-mounted color image sonar

The purpose of developing the helmet-mounted color image sonar is to solve the shortcomings of the imaging sonar on the market, which is large, complex structure, complex operation, handle operation, and difficult remove. The helmet-mounted color image sonar has characteristics of a small size, simple operation, and worn directly, easily remove. With the characteristics above, the imaging algorithms is required to small algorithm complexity, fast calculation speed, and a good image results. Therefore, this paper studies the three imaging algorithms from computational complexity and imaging: FFT algorithm, envelope detector and the quadrature demodulation. By comparing to three imaging algorithm respectively through theoretical analysis, simulation and actual environment-detection effect, the imaging algorithm that suitable for helmet-mounted color image sonar is discovered, that is, using envelope detection algorithm at short range detection and using FFT algorithm at long range detection.