| 离散采样偏差造成的信噪比损失分析与改善 |
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| 引用本文： | 陈,娟.离散采样偏差造成的信噪比损失分析与改善[J].电讯技术,2015,55(2):206-210. |
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| 作者姓名： | 陈 娟 |
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| 作者单位： | 中国西南电子技术研究所,成都,610036 |
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| 摘 要： | 分析了离散采样偏差造成的目标信噪比损失,提出采用幅度最大原则搜索获得采样位置偏差值,利用该偏差值在频域完成对采样偏差的补偿,从而改善信噪比的损失。讨论了该算法的应用条件,分别对强散射点目标和弱散射点目标情况进行了仿真,分析了随着信噪比变化该算法对信噪比损失改善的效果,验证了算法的有效性。算法具有较低的运算复杂度,因而在实际系统中易于实现。
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| 关 键 词： | 雷达信号处理 离散采样偏差 信噪比损失 幅度最大补偿法 |
Analysis and compensation of signal-to-noise ratio loss caused by discrete sampling offset |
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| CHEN Juan.Analysis and compensation of signal-to-noise ratio loss caused by discrete sampling offset[J].Telecommunication Engineering,2015,55(2):206-210. |
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| Authors: | CHEN Juan |
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| Affiliation: | CHEN Juan;Southwest China Institute of Electronic Technology; |
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| Abstract: | The signal-to-noise ratio(SNR) loss caused by discrete sampling offset is analyzed.Amplitude optimization compensation algorithm is proposed for reducing the SNR loss.Firstly,based on amplitude optimization,the sampling offset range is searched.And then the SNR loss is compensated by the sampling offset range in frequency domain.The applied condition is discussed.The simulation of high SNR target and low SNR target shows the compensation result of the algorithm in different SNR,which proves its effectiveness.The proposed algorithm is suitable for practical system with low computational complexity. |
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| Keywords: | radar signal processing discrete sampling offset signal-to-noise ratio loss amplitude optimization compensation algorithm |
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