一種基于高效FrFT的LFM信號檢測與參數(shù)估計(jì)快速算法

黃響; 唐世陽; 張林讓; 谷亞彬

doi:10.11999/JEIT170467

一種基于高效FrFT的LFM信號檢測與參數(shù)估計(jì)快速算法

doi: 10.11999/JEIT170467 cstr: 32379.14.JEIT170467

基金項(xiàng)目:

國家自然科學(xué)基金(61601343, 61671361, 61301285)，中國博士后基金面上 (2016M600768)

計(jì)量
- 文章訪問數(shù): 1715
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2017-05-16
- 修回日期: 2017-09-25
- 刊出日期: 2017-12-19

A Fast Algorithm of LFM Signal Detection and Parameter Estimation Based on Efficient FrFT

Funds:

The National Natural Science Foundation of China (61601343, 61671361, 61301285), China Postdoctoral Science Foundation Funded Project (2016M600768)

摘要

摘要: 針對傳統(tǒng)方法對線性調(diào)頻(LFM)信號檢測與參數(shù)估計(jì)運(yùn)算量大的問題，該文提出一種基于高效FrFT的快速算法。首先，分析了高效FrFT原理，指出高效FrFT存在旋轉(zhuǎn)角度的選取、易受初始頻率影響以及抗噪性能差等問題。針對以上問題，該文利用修正的功率譜平滑濾波方法對高效FrFT進(jìn)行改進(jìn)。理論分析表明，該文提出的改進(jìn)算法僅用3次旋轉(zhuǎn)角度即可實(shí)現(xiàn)較低信噪比下LFM信號的檢測和參數(shù)估計(jì)。與傳統(tǒng)的FrFT相比，在保證參數(shù)估計(jì)精度不變的情況下，運(yùn)算復(fù)雜度大大降低，更符合工程上實(shí)時處理的要求。仿真結(jié)果驗(yàn)證了該算法的有效性。
- 高效FrFT /
- LFM信號 /
- 修正的功率譜平滑濾波
Abstract: A fast algorithm based on the effective FrFT is proposed to realize the detection and parameter estimation of Linear Frequency Modulation (LFM) signal, since the traditional algorithms have a great computational burden. The effective FrFT is first analyzed, and pointed out to have problems in choosing the rotation angles, being easily affected by initial frequency, and poor anti-noise performance. Faced with the above problems, a modified power spectrum smooth filtering method is used to improve the effective FrFT algorithm. The theoretical analysis indicates that the proposed method based on effective FrFT can realize the detection and parameter estimation of LFM signal in low SNR condition with only three rotation angles. Furthermore, the computational cost is greatly reduced under the guarantee of the same parameter estimation accuracy compared to traditional FrFT. The simulation results verify the effectiveness of the proposed algorithm.
- Effective FrFT /
- Linear Frequency Modulation (LFM) signal /
- Modified power spectrum smooth filtering

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