Fractional Fourier transform based underwater multi-targets direction-of-arrival estimation using wideband linear chirps
Fractional Fourier transform based underwater multi-targets direction-of-arrival estimation using wideband linear chirps
复制标题
基于分数阶傅里叶变换的宽带线性调频水下多目标到达方向估计
DOI：
10.1016/j.apacoust.2020.107477
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发表时间：
2020
影响因子：
3.4
通讯作者：
Yu Ge
中科院分区：
文献类型：
--
作者：
Yin Jingwei;Guo Kun;Han Xiao;Yu Ge
在(相对较弱的)假设下，我们提出了一种基于稀疏重构框架的盲解卷积方法，该框架利用宽带字典，假设传输信号可以被很好地建模为正弦和。利用接收信号的Toeplitz结构形式，我们形成了迭代盲解卷积方案，交替估计水下脉冲响应和发射波形。由此产生的优化问题是凸的，我们使用乘子的交替方向法(ADMM)构造了一个计算高效的求解器。我们使用模拟和测量的水下信号来说明所得到的估计器的性能。
In this paper, we propose a blind channel deconvolution method based on a sparse reconstruction framework exploiting a wideband dictionary under the (relatively weak) assumption that the transmitted signal may be assumed to be well modelled as a sum of sinusoids. Using a Toeplitz structured formulation of the received signal, we form an iterative blind deconvolution scheme, alternatively estimating the underwater impulse response and the transmitted waveform. The resulting optimization problems are convex, and we formulate a computationally efficient solver using the Alternating Direction Method of Multipliers (ADMM). We illustrate the performance of the resulting estimator using both simulated and measured underwater signals.