论文部分内容阅读
方位估计和信号恢复分别是水下目标定位、跟踪和目标识别的前提。提出了一种阵列频域单快拍压缩感知的水下目标方位估计和信号恢复方法。首先将阵列接收数据变换到频域,取频域单快拍数据作为压缩感知的测量值,然后根据频域快拍对应的频率、搜索方位和阵列流形构造过完备的阵列流形矩阵作为压缩感知的感知矩阵,最后通过基追踪算法估计搜索方位上目标信号和功率,实现DOA估计与信号恢复。宽带仿真实验数据验证结果表明,同等条件下完成同样的目标方位分辨,提出的方法比最小方差无失真响应方法要求的阵元数和快拍数较少,要求的信噪比更低,恢复的目标信号更加准确,波形相关系数达到89%以上。海上实验数据处理结果表明,目标检测能力优于最小方差无失真响应方法,证明该方法可以适用于实际声呐系统。
Azimuth estimation and signal restoration are the prerequisites of underwater target location, tracking and target recognition respectively. An underwater target azimuth estimation and signal restoration method based on array single-snapshot compression in frequency domain is proposed. Firstly, the received data of the array is transformed into the frequency domain, and the single snapshot data of the frequency domain is taken as the measured value of the compressed sensing. Then, a perfect array manifold matrix is constructed according to the frequency corresponding to the snapshot in the frequency domain, the search orientation and the array manifold Perceptual perceptual matrix. Finally, the DOA estimation and signal recovery are achieved by using the basis pursuit algorithm to estimate the target signal and power in the search azimuth. The simulation results of broadband simulations show that the proposed method achieves the same target resolution under the same conditions. Compared with the minimum variance distortion-free method, the proposed method requires fewer elements and snapshots, requires less signal to noise ratio, The target signal is more accurate, the correlation coefficient of the waveform reaches above 89%. The results of the experimental data at sea show that the target detection ability is better than the minimum variance distortion-free response method, which proves that the method can be applied to the actual sonar system.