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ADOS-CFAR Algorithm for Multibeam Seafloor Terrain Detection

Author

Listed:
  • Weidong Du
  • Tian Zhou
  • Haisen Li
  • Baowei Chen
  • Bo Wei

Abstract

To solve the false terrain problem caused by the tunnel effect in the conventional multibeam seafloor terrain detection, a detection method of multibeam seafloor terrain based on the ADOS-CFAR (Amplitude Dichotomy Order-Statistics Constant False Alarm Rate) is developed. This paper first discusses the principles and existing problems of the OS-CFAR and K-FINDER algorithms and then suggests the ADOS-CFAR algorithm and its fast calculation method for those problems. By adopting this algorithm into the detection method of multibeam seafloor terrain and carrying out the simulation study on the computational load of the ADOS-CFAR, it is shown that this method has a lower computational load on the premise of ensuring the detection performance. Finally, the proposed algorithm is analyzed and verified through the test data in Songhua Lake. The result indicates that this method can effectively avoid the false terrain caused by tunnel effect with higher terrain detection accuracy.

Suggested Citation

  • Weidong Du & Tian Zhou & Haisen Li & Baowei Chen & Bo Wei, 2016. "ADOS-CFAR Algorithm for Multibeam Seafloor Terrain Detection," International Journal of Distributed Sensor Networks, , vol. 12(8), pages 1719237-171, July.
    • Handle: RePEc:sae:intdis:v:12:y:2016:i:8:p:1719237
    DOI: 10.1177/155014771719237
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