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Method for amalgamation processing multi-segment sampling signal estimated by frequency

A frequency and signal technology, applied in the field of multi-segment sampling signal processing, can solve the problems of large noise impact, restricting application and promotion, etc.

Inactive Publication Date: 2008-07-30
涂亚庆 +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Rotational phase accumulation method is a relatively advanced method at present, but it is greatly affected by noise and requires the initial phase of each sampling signal to be known, which seriously restricts the application and promotion of this method

Method used

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  • Method for amalgamation processing multi-segment sampling signal estimated by frequency
  • Method for amalgamation processing multi-segment sampling signal estimated by frequency
  • Method for amalgamation processing multi-segment sampling signal estimated by frequency

Examples

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Embodiment Construction

[0087] In order to further illustrate the processing flow of the patented method, the following application example is given.

[0088] 1. An example of multi-segment co-frequency signal processing and analysis of experimental results

[0089] There are four same-frequency signals, and it is known that the frequency of each sampling signal is the same, and the initial estimated value f of the frequency of the first sampling signal 2 = 3.15MHz, the maximum relative estimation error is 0.1, that is, the first sampling signal frequency f 1 ∈ [2.863636MHz, 3.5MHz]. The frequency of the known sampling signal is 8MHz, and the length of each segment of the sampling signal is [50 44 48 44]. In order to accurately measure the frequency of the first sampling signal, according to the patented method, the following processing procedures can be used:

[0090] (1) Determine the first segment of the frequency sequence to be compared BF0=linspace(2.863636MHz, 3.5MHz, 207). The sequence len...

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Abstract

The invention relates to a fusion processing of sampled signal from multiple sections, which is a frequency-domain analysis method suitable for signal frequency estimation. The method can compensate the influence on the signal processing results due to signal frequency difference in different sections and phase discontinuousness by setting different frequency-domain analysis parameters and phase parameter compensating factor, so as to achieve relevant information fusion and useful information extraction to obtain higher frequency estimation accuracy. The method of the invention has wide application range and is suitable for the situations of unknown initial phase of sampled signal from each section, unknown time interval between adjacent sampling sections, unknown variation of sampled signal in the time interval of adjacent sampling sections, or different sampling frequency of different sampling processes; and can achieve high-accuracy processing of signals with different frequencies sampled from multiple sections, and meet the frequency estimation requirement under the situation of signals with the same frequency sampled from multiple sections, signals with demultiplied frequencies sampled from multiple sections, or signals with split frequencies sampled from multiple sections. The method of the inventioni provides theoretical derivation process, verifies and compares experimental results, and performs real-time computing capacity analysis.

Description

technical field [0001] The present invention relates to signal frequency estimation, in particular, to a method for processing multi-segment sampling signals. Background technique [0002] The multi-segment sampling signal refers to that, for the same object under test, under different time periods or different sampling parameters, several sampling signals are obtained through several sampling processes. The frequency of each sampled object in this sampling process is unchanged, the relative relationship between the frequencies of the signals obtained by each segment of sampling (hereinafter referred to as "sampling signals") is known, and the time interval between adjacent segments of sampling can be Unknown, the sampled signal may change unknown in the time interval between adjacent sampling times, and the sampling frequency of each sampling process may be different. [0003] The processing of multi-segment sampling signals, especially multi-segment co-frequency signals, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R23/16G01R23/02
Inventor 涂亚庆刘良兵
Owner 涂亚庆
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