水下成像的稀疏阵列乘性处理

针对阵列传感器布阵设计中的冗余问题,提供了一种水下声学成像稀疏阵列的处理方法。采用稀疏阵列乘性处理方法可合成一个收发一体的虚拟阵列且虚拟阵元数目等于实际阵列发射阵元与接收阵元的乘积。依据相位中心近似的原理,对虚拟阵元的布阵位置进行了数学的解析表示,使用几种不同结构的稀疏阵列进行比较。实验结果得出,使用上述方法建立的稀疏阵列性能指标在三维声场、波束、导向矢量、主瓣宽度和峰值旁瓣级等方面与同等数量的收发一体Mills cross稀疏阵列一致。表明了乘性处理方法能有效解决阵元冗余问题,利用上述方法可得到一种优于Mills cross的新型稀疏阵列。

One Multiplicative Processing Based on Thinning Array Design for Underwater Acoustic Imaging

Aiming at the problem of redundancy in array sensor array design,a method of sparse array processing of underwater acoustic imaging was provided.The sparse array multiplication method can be used to synthesize a vir-tual array of transceiver and receiver.According to the principle of phase center approximation,the positions of virtu-al array elements were represented mathematically,and several sparse arrays with different structures were used for comparison.Experimental results conclude that the sparse array of performance index established using the method is consistent with an equal amount of transceiver integrated Mills cross sparse array in three-dimensional acoustic field,beam,steering vector,main lobe width and peak side-lobe level.It is shown that the method can effectively solve the problem of redundant array,using this method can get a new type sparse array which is better than Mills cross.