基于交替下降条件梯度的前视成像

doi:10.12305/j.issn.1001-506X.2021.09.09

Abstract

Abstract:

The grid-based compressive sensing (CS) algorithm suffers from grid mismatch and is prone to artifacts in the case of insufficient resolution. The gridless CS algorithm is commonly used in two-dimensional harmonic estimation problems and is not suitable for complex signal models such as cross terms. In this regard, an alternating descent conditional gradient forward-looking imaging algorithm is proposed. The proposed algorithm firstly obtains a coarse estimate of the scattering point parameters with each iteration, and updates the parameter set. And then, the proposed algorithm performs gradient descent on the updated parameter set to obtain a fine estimate of the parameter set, realizing two-dimensional high-resolution imaging with continuous parameters under complex signal models. Simulation experiments illustrate the superiority and effectiveness of the proposed algorithm.

Key words: forward-looking imaging, continuous-valued frequency recovery, alternating descent conditional gradient (ADCG), sparsity

CLC Number:

TN957

Rongyan XI, Tianyao HUANG, Guangbin ZHANG, Lei WANG, Yimin LIU. Forward-looking imaging based on alternating descent conditional gradient[J]. Systems Engineering and Electronics, 2021, 43(9): 2439-2447.

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参数	数值
发射阵元数	1
接收阵元数	8
阵元间隔/cm	1.5
中心频率/GHz	10
信号合成带宽/GHz	12
子载波数	50

参数	数值
散射点距离/m	{1, 1.2, 1.4, 1.6}
散射点角度/(°)	{2, 5, 8, 3}

参数	数值
散射点距离/m	{1, 1, 1.4, 1.6}
散射点角度/(°)	{-10, 10, 8, 3}

参数	数值
散射点距离/m	{1, 1, 1.4, 1.6}
散射点角度/(°)	{-1, 1, 8, 3}

K	1	2	3	4
MDL	734.143 2	553.635 1	380.829 6	200.994 3

K	5	6	7	8
MDL	201.947 2	202.736 7	204.106 5	205.636 7

Forward-looking imaging based on alternating descent conditional gradient

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