研究目的
To develop a real-time 3-D underwater imaging system with reduced hardware cost and computational burden by employing a special sparse array and efficient beamforming techniques.
研究成果
The proposed low-complexity 3-D underwater imaging system, combining an optimized sparse array and efficient beamforming, demonstrated satisfactory imaging quality in lake and sea trials. The system achieved significant reductions in hardware cost and computational load, making it suitable for real-time underwater applications.
研究不足
The study focuses on narrowband signals and may not fully address the challenges of wideband imaging systems. The computational savings are more significant for sparse arrays, and the system's performance in highly turbid environments was not extensively tested.
1：Experimental Design and Method Selection:
The study involves the optimization of the simulated annealing algorithm for sparse array synthesis and the development of an optimized DPS beamforming method incorporating pruning FFT technology.
2：Sample Selection and Data Sources:
The system was tested in lake and sea trials with targets such as a bicycle and seafloor structures.
3：List of Experimental Equipment and Materials:
A planar array with 375 active elements, FPGA-based signal processing boards, and hydrophones were used.
4：Experimental Procedures and Operational Workflow:
The system processes signals through DFT, first-stage subarray beamforming with pruning FFT, and second-stage subarray beamforming.
5：Data Analysis Methods:
The computational load and imaging quality were analyzed and compared with other beamforming methods.
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