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Estimation Method of Subtle Features of Satellite Signals Based on Progressive Accuracy czt

A subtle feature and satellite signal technology, applied to baseband system components, digital transmission systems, data rate detection devices, etc., can solve the problem of difficult identification of subtle features of radiation sources

Inactive Publication Date: 2019-07-26
THE PLA INFORMATION ENG UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] In order to overcome the deficiencies in the prior art, the present invention provides a method for estimating subtle features of satellite signals based on progressive precision CZT, which solves the problem that the subtle features of radiation sources are difficult to identify, and provides a reliable basis for the identification of radiation sources

Method used

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  • Estimation Method of Subtle Features of Satellite Signals Based on Progressive Accuracy czt
  • Estimation Method of Subtle Features of Satellite Signals Based on Progressive Accuracy czt
  • Estimation Method of Subtle Features of Satellite Signals Based on Progressive Accuracy czt

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Embodiment 1

[0034] Embodiment one, see figure 1 As shown, a satellite signal subtle feature estimation method based on precision progressive CZT includes the following steps:

[0035] Step 1. Collect the estimated signal s of length L r (n), perform a modulo operation on it to get |s r (n) | for s r (n) Perform M power operation to get s r M (n);

[0036] Step 2, respectively for |s r (n)| and s r M (n) Perform DFT rough estimation to obtain the symbol rate R B estimated value of and carrier frequency deviation ω 0 estimated value of And determine the corresponding estimated value error range according to the estimated value;

[0037] Step 3. According to the error range of the estimated value to |sr (n)| and s r M (n) Carry out CZT refinement spectrum analysis, select the CZT refinement interval, calculate the refinement interval K, estimate the amount of matching data, perform CZT calculation, and update the symbol rate R B estimated value of and carrier frequency dev...

Embodiment 2

[0040] Embodiment two, see figure 1 As shown, a satellite signal subtle feature estimation method based on precision progressive CZT includes the following content:

[0041] Step 1. Collect the estimated signal s of length L r (n), perform a modulo operation on it to get |s r (n) | for s r (n) Perform M power operation to get s r M (n); perform a modulo operation on the estimated signal to convert it into a unipolar baseband pulse sequence; perform an M-th power operation to achieve the effect of demodulating information, and estimate the carrier frequency deviation therefrom.

[0042] Step 2, respectively for |s r (n)| and s r M (n) Perform rough DFT estimation to obtain the corresponding estimated error range, including the following content: set the signal s r (t) According to the sampling rate f s Discretize to s r (n), the number of DFT operation points is N, and the symbol rate can be measured from the prominent discrete spectral line single-frequency component...

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Abstract

The invention relates to a satellite signal subtle feature estimation method based on precision progressive CZT. The method comprises the steps of collecting to-be-estimated signal data of certain length; transforming the data into a form applicable to a signal rate and carrier frequency subtle feature estimation, and carrying out DFT coarse estimation; and selecting a T refinement interval, calculating the refinement interval, estimating matched data quantity, calculating CZT, and updating an estimation value; judging whether the estimation value satisfies a preset precision demand or not, outputting a result if the estimation value satisfies the preset precision demand, otherwise adjusting an estimation value error, and estimating CZT with higher precision until the estimation precision satisfies the preset precision demand. According to the method, the difficulty that in the prior art, the estimation precision of the subtle features of radiation sources is low is solved; the spectrum refinement analysis is carried out by employing a multi-precision progressive CZT method; compared with a DFT method, the CZT method has the advantage that the symbol rate and carrier frequency with higher order of magnitude precision are obtained; the precision is enough to distinguish the subtle features of different radiation sources, and the reliable basis is provided for identifying the radiation sources.

Description

technical field [0001] The invention belongs to the technical field of subtle features of radiation sources, in particular to a method for estimating subtle features of satellite signals based on progressive precision CZT. Background technique [0002] Estimating the subtle features of radiation sources refers to the technology of obtaining the working status of radiation sources and distinguishing different radiation sources through precise calculation of signal parameters. For the satellite communication signal received by the ground station, the signal has gone through two links: the ground transmission equipment and the satellite transparent forwarding. It is assumed that the sampling clock and local oscillator of the ground receiving equipment for subtle feature analysis and processing all have high precision and stability, which is at least two orders of magnitude higher than that of the equipment in the communication link. Therefore, the ground receiving equipment wi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L27/00H04L25/02
CPCH04L25/0262H04L27/0014H04L2027/0026
Inventor 李天昀王大海彭华许漫坤巩克现范磊杜健董政
Owner THE PLA INFORMATION ENG UNIV
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