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Improved Quinn algorithm based Doppler frequency estimation method

A technology of Doppler frequency and algorithm, which is applied in the field of Doppler frequency estimation based on the improved Quinn algorithm, achieves the effects of short time consumption, improved spectral resolution, and low computational complexity

Active Publication Date: 2018-11-20
ACAD OF OPTO ELECTRONICS CHINESE ACAD OF SCI
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[0006] At present, there is no way to solve the above problems

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  • Improved Quinn algorithm based Doppler frequency estimation method
  • Improved Quinn algorithm based Doppler frequency estimation method
  • Improved Quinn algorithm based Doppler frequency estimation method

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Embodiment Construction

[0028] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0029] The present invention provides a Doppler frequency estimation method based on the improved Quinn algorithm, the specific process is as follows figure 1 shown, including the following steps:

[0030] Step (1) Carry out double zero padding on the spread spectrum signal x(n) of N points, the number of zero padding is N, and perform a Fourier transform FFT operation with 2N points on the signal after double zero padding to obtain the frequency domain Signal X(k).

[0031] Select the peak value of the amplitude of the frequency domain signal X(k)|X(k 0 )|,k 0 is the peak value|X(k 0 )|corresponding frequency domain position coordinates.

[0032] The present invention uses zero-fill FFT to increase the number of spectral lines in the main lobe, and further uses more spectral line information to estimate the Doppler frequency, which can reduce the com...

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Abstract

The invention discloses an improved Quinn algorithm based Doppler frequency estimation method. Before the Quinn algorithm is used to perform Doppler frequency estimation, the Fourier transform FFT operation for zero filling is performed on the signal, so that the number of spectral lines in a signal spectrum main lobe is increased, and more spectral line information is used to correct the peak position, so that a more accurate Doppler frequency estimation value can be obtained. The method comprises the steps of: performing double zero-filling on a spread spectrum signal x(n) of a N-point, andperforming an FFT operation with a point number of 2N on the double zero-filled signal to obtain a frequency domain signal X(k); selecting a peak value |X(k0)| of the frequency domain signal X(k) amplitude, wherein k0 is a frequency domain position coordinate corresponding to the peak |X(k0)|; using the Quinn algorithm to perform frequency domain interpolation, and determining the interpolation direction r of the Quinn algorithm, where r= +1 indicates that the interpolation direction is going to the right, and r=-1 indicates that the interpolation direction is going to the left; and calculating the movement amount of the spectral line interpolation movement of the Quinn algorithm (shown in the description); and calculating the Doppler frequency estimated value (shown in the description), wherein delta f is the discriminating interval of the FFT operation.

Description

technical field [0001] The invention relates to the technical field of spread spectrum communication, in particular to a Doppler frequency estimation method based on an improved Quinn algorithm. Background technique [0002] The acquisition of high dynamic spread spectrum signals needs to complete the estimation of Doppler frequency. Improving the estimation accuracy of Doppler frequency and reducing the estimation error can make the tracking unit lock quickly. Its estimation accuracy is limited by the signal-to-noise ratio of the received signal, and the higher the signal-to-noise ratio, the higher the accuracy of Doppler frequency estimation. Usually, the method of prolonging the correlation time is used to improve the signal-to-noise ratio, but in the environment of high dynamic and low carrier-to-noise ratio, prolonging the correlation processing time will bring about the problem of Doppler frequency migration, which not only cannot effectively improve the signal-to-nois...

Claims

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Application Information

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IPC IPC(8): G06F17/14H04B1/69
CPCG06F17/142H04B1/69
Inventor 徐颖申宇瑶袁超葛建史雨薇罗瑞丹刘文学田向伟梁丹丹唐阳阳
Owner ACAD OF OPTO ELECTRONICS CHINESE ACAD OF SCI
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