频域单快拍压缩感知目标方位估计和信号恢复方法

发布时间：2018-05-25 09:28

本文选题：信号恢复 + 方位估计　；参考：《声学学报》2016年02期

【摘要】：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。
[Abstract]:Azimuth estimation and signal recovery are prerequisites for underwater target location, tracking and target recognition, respectively. An underwater target azimuth estimation and signal recovery method based on single beat compression sensing in array frequency domain is proposed. First of all, the array received data is converted to frequency domain, and the frequency domain single beat data is taken as the measured value of compressed perception, and then according to the frequency of frequency domain rapid-beat, The search azimuth and array manifold are constructed as the sensing matrix of compressed perception. Finally, the target signal and power on the search azimuth are estimated by the basis tracking algorithm, and the DOA estimation and signal recovery are realized. The experimental results of wideband simulation show that the proposed method requires less array elements and rapids and lower SNR than the minimum variance distortionless response method for the same target azimuth resolution under the same conditions. The recovered target signal is more accurate, the correlation coefficient of waveform is over 89%. The experimental data processing results show that the target detection capability is better than the minimum variance distortion free response method, and it is proved that the method can be applied to the actual sonar system.
【作者单位】：海军大连舰艇学院信息作战系;海军大连舰艇学院研究生队;海军大连舰艇学院军事海洋系;
【基金】：国家自然科学基金(61471378)资助
【分类号】：TN911.23

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