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제안 방법
- In this study, a new design method was presented to optimize the structure of the sparse array to achieve the performance equivalent to that of the fully sampled array for underwater acoustical applications. The fully sampled array was a combination of two square 10 × 10 planar arrays, whose beam pattern was computed using an effective aperture approach to evaluate the main performance parameters, such as PSLL and MLBW.
- To verify the validity of the analysis and design in the previous section, we carried out FEA of the planar array sensor using a commercial software package, PZFlex®. Taking advantage of the square symmetry of the array utilized for the analytical results, a quarter model of the array was simulated to evaluate the pulse-echo beam pattern of both the sparse and fully sampled arrays at a far-field point. Each element of the array was a Tonpilz transducer that is effective for both transmitting and receiving capabilities.
- The fully sampled array was a combination of two square 10 × 10 planar arrays, whose beam pattern was computed using an effective aperture approach to evaluate the main performance parameters, such as PSLL and MLBW.
- The purpose of this work is to design a sparse array that has a beam pattern comparable to that of the fully sampled array. In the sparse array, parts of the array elements are used as transmitters and others as receivers, thus reducing the total number of elements to 50 % of the fully sampled array.
- Optimization of the sparse array is carried out with the objective of keeping its main performance parameters, including the PSLL (Peak Side Lobe Level) and MLBW (Main Lobe Beam Width) within the proximity of the dense array using the OQNLP (OptQuest Nonlinear Programming) algorithm.[6] The validity of the optimized beam patterns is verified by comparing them with those from the FEA (Finite Element Analysis) of the optimized sparse array structure.
- These results confirmed the effectiveness of the present design method. The validity of the optimized beam patterns was verified by comparing the obtained patterns with those from the FEA of the optimized sparse array structure. The sparse array sensor designed in this work can provide a performance equivalent to that of a fully sampled array while using just half the number of the initial array elements.
대상 데이터
- 3 and shows the optimized layout of the sparse array within the symmetric area. The optimized structure contains 5 transmitters and 11 receivers in the symmetric area, which correspond to 32 transmitters and 68 hydrophones in the entire array.
이론/모형
- is that of a sparse array. The optimization process was carried out using the OQNLP algorithm. OQNLP is a multistart heuristic algorithm that finds a global optimum of a constrained nonlinear problem.
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