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Adaptive Sampling Restoration Method Based on fri

An adaptive sampling and recovery method technology, applied in the field of information and communication, can solve the problem of low sampling rate, achieve the effect of reducing the number of sampling points, accurately recovering signals, and avoiding blindness

Active Publication Date: 2017-11-03
HARBIN INST OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Take advantage of this property of the signal, allowing sampling rates significantly lower than the Nyquist rate

Method used

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  • Adaptive Sampling Restoration Method Based on fri
  • Adaptive Sampling Restoration Method Based on fri
  • Adaptive Sampling Restoration Method Based on fri

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Experimental program
Comparison scheme
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specific Embodiment approach 1

[0072] Specific implementation mode 1: FRI-based adaptive sampling recovery method, which is implemented by the following steps:

[0073] Step 1: Determine the accuracy requirements of the signal according to specific application scenarios and channel conditions. Specifically, the recovery accuracy w can be used to describe the accuracy. w=1 means that the signal is recovered without distortion using the Nyquist sampling law; w=0 means that the number of sampling points is 0, and the signal cannot be recovered at all. A free value of w between 0 and 1 can indicate different signal recovery accuracy. As for the selection of w, a value between 0 and 1 can be manually input to manually control the accuracy of the signal in real time, or the most suitable classic value in a specific application scenario determined by trial and error can be selected.

[0074] Step two: Perform FFT (Fast Fourier Transformation) on the original signal, convert the time domain signal to the frequency dom...

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Abstract

An FRI-based self-adaptive sampling restoration method relates to the field of information and communication technology. In order to reduce the number of sampling points, improve sampling efficiency and improve the accuracy of signal restoration, the present invention can intelligently select the number of sampling points according to specific application scenarios. And can use the least number of points to obtain the greatest signal recovery accuracy. In some application scenarios, such as military missile navigation signals, the accuracy of the signal is high. At this time, this algorithm can select more points to obtain the maximum recovery accuracy. In other application scenarios, such as civilian walkie-talkies, the signal requirements are not high. At this time, the adaptive recovery algorithm can select fewer points to ensure higher sampling efficiency. At the same time, the adaptive sampling recovery method expands the types of signals that FRI theory can handle, so that it can handle not only discrete Dirac flows, but also arbitrary time continuous signals. The invention is applicable to the occasion of signal self-adaptive sampling recovery.

Description

Technical field [0001] The invention relates to the field of information and communication technology. Background technique [0002] In classical sampling theory, the highest frequency of a band-limited signal is f max , When the sampling rate is greater than or equal to the Nyquist rate 2f max At this time, the signal can be completely reconstructed from its samples. However, most signals in the real world are either unrestricted in bandwidth or have a large bandwidth. Processing these signals requires a fairly high Nyquist rate to sample the band-limited signal. This requires expensive hardware samplers and high-throughput digital processors. Therefore, we need to find some ways to reduce the sampling rate under the premise of ensuring the accuracy of signal recovery, so that the number of sampling points that need to be processed can be reduced, and the cost can be greatly reduced. [0003] At present, many methods to reduce the sampling rate have been proposed. For example,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H03M7/30
Inventor 贾敏王世龙顾学迈郭庆刘晓锋王雪张光宇王欣玉
Owner HARBIN INST OF TECH