1. 北京理工大学电子工程系,北京,100081
2. 中北大学信息工程学院,山西,太原,030051
3. 北京理工大学电子工程系北京,100081
4. 中北大学信息工程学院山西太原,030051
纸质出版:2012
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庞存锁. 基于离散多项式相位变换和分数阶傅里叶变换的加速目标检测算法[J]. 电子学报, 2012,40(1):184-188.
PANG Cun-suo. An Accelerating Target Detection Algorithm Based on DPT and Fractional Fourier Transform[J]. Acta Electronica Sinica, 2012, 40(1): 184-188.
庞存锁. 基于离散多项式相位变换和分数阶傅里叶变换的加速目标检测算法[J]. 电子学报, 2012,40(1):184-188. DOI: 10.3969/j.issn.0372-2112.2012.01.030.
PANG Cun-suo. An Accelerating Target Detection Algorithm Based on DPT and Fractional Fourier Transform[J]. Acta Electronica Sinica, 2012, 40(1): 184-188. DOI: 10.3969/j.issn.0372-2112.2012.01.030.
本文提出了一种离散多项式相位变换(DPT)和分数阶傅里叶变换(FRFT)相结合的LFM检测方法.首先
分析了经典DPT算法中调频分辨率与互相关时延、积累脉冲长度以及积累性能之间的相互关系
指出时延较小的DPT算法与经典DPT算法相比
检测性能提高约3dB
但调频率估计误差大.其次
针对这一问题
提出在DPT基础上
利用FRFT进一步提高调频率估计精度
当输入信噪比大于-11dB时
在分数阶域引入一维牛顿迭代法可提高运算速度;最后
给出了算法复杂度和估计误差的理论分析并用实验结果验证了算法的有效性.
The echo of accelerating targets can be approximated as a linear frequency modulated signal which may degrades the MTD's coherent integration performance.This paper presents an LFM detection method based on both discrete polynomial phase transform (DPT) and the fractional Fourier transform (FRFT).First
the interrelation between frequency resolution
cross-correlation delay
pulse length and integration performance of the classic DPT algorithm are analyzed.The result shows that detection performance of the DPT algorithm with a small time delay can be improved 3dB than classical algorithm.This is helpful to detect accelerating target under low SNR
but causes large parameter estimation error.Second
based on DPT algorithm
the FRFT is applied to further improve the accuracy of chirp rate estimation.When the input signal-to-noise ratio (SNR) is greater than-11 dB
one-dimensional Newton's iteration method can help to improve the operation speed in the fractional domain.Finally
the algorithm complexity and the theory of estimation error are presented
and the validity of proposed algorithm is verified by simulation results which make the theory perfect.
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