多頻調頻稀疏分解的微動目標參數(shù)估計方法

周葉劍; 張磊; 菅毛; 王虹現(xiàn); 邢孟道

doi:10.11999/JEIT170163

多頻調頻稀疏分解的微動目標參數(shù)估計方法

doi: 10.11999/JEIT170163

基金項目:

國家自然科學基金(61301280, 61301293)

計量
- 文章訪問數(shù): 1288
- HTML全文瀏覽量: 112
- PDF下載量: 232
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2017-02-27
- 修回日期: 2017-06-22
- 刊出日期: 2017-10-19

Micro-motion Estimation for Ballistic Targets with Multi-frequency Chirp Decomposition

Funds:

The National Natural Science Foundation of China (61301280, 61301293)

摘要

摘要: 精細化的回波微動調制分析是提取彈道目標運動幾何特性的重要技術手段。該文提出一種多頻點-調頻傅里葉稀疏分解的微動估計方法來分析目標的時頻特性。首先，該文介紹彈道目標進動回波微多普勒的一般表達；平動補償后對回波局部分段并采用調頻率傅里葉稀疏分解來估計局部微多普勒調頻參數(shù)，有效利用了多頻點回波的結構稀疏性，聯(lián)合多頻點稀疏分解提高算法穩(wěn)健性；最后，拼接主頻段信號各分段估計結果得到目標的微動曲線。電磁仿真數(shù)據(jù)驗證了算法的有效性和穩(wěn)健性，可用于彈道目標的微動分析、多目標識別等任務。
- 微動特性 /
- 調頻傅里葉 /
- 時頻分析 /
- 多頻點信號 /
- 稀疏分解
Abstract: Accurate micro-motion characteristics analysis is an important technique to extract the geometrical characteristics of ballistic targets. In this paper, a multi-frequency Chirp sparse decomposition method for time- frequency analysis of micro-motion targets is proposed. First, the echo micro-Doppler expression of the equivalent scattering center model with the procession motion is deduced. After the translation compensation process, the multi-frequency echo are segmented and used to estimate the micro-motion characteristics with the Chirp sparse decomposition algorithm. While the sparseness of multi-frequency echo are effectively utilized, and the joint multi-frequency estimation improves the robustness of the algorithm. Finally, target,s micro-motion curve are obtained by stitching the segments estimation results. The validity and robustness of the algorithm are verified by electromagnetic simulation data and can be applied to time-frequency analysis and recognition of ballistic target.
- Micro-motions characteristics /
- Chirp Fourier /
- Time-frequency analysis /
- Multi-frequency /
- Sparse decomposition

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