Signal modulation parameter self-adaptive identification method
A recognition method and signal modulation technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of not being able to automatically adapt to the bandwidth of the measured signal, and achieve good recognition accuracy and stability, good adaptability, The effect of reducing the operational burden
Pending Publication Date: 2020-12-15
CHINA ELECTRONIS TECH INSTR CO LTD
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[0006] Aiming at the problem that the existing signal modulation parameter identification method cannot automatically adapt to the measured signal bandwidth, the present invention proposes a signal modulation parameter adaptive identification method that does not need to manually set the analysis bandwidth and has good identification accuracy and stability
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[0021] The specific embodiment of the present invention will be further described below in conjunction with accompanying drawing and specific examples:
[0022] combine Figure 1 to Figure 4 , a signal modulation parameter adaptive identification method, comprising the following steps:
[0023] Step 1: Automatically adjust the analysis bandwidth: After the user selects the position of the signal to be identified, select the frequency where the maximum value of the power spectrum mean value in the local range is located as the signal center frequency f c , select the signal center frequency f c The 3dB bandwidth is used as the initial analysis bandwidth B 1 , with k*B 1 is the step size, and gradually increases the analysis bandwidth to form an analysis bandwidth set {B 1 , B 2 ,...,B N}, where k is the step factor. Such as figure 1 shown.
[0024] Step 2: Construct a training sample set: For L modulation methods, M signals are collected for each modulation method, and...
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The invention discloses a signal modulation parameter self-adaptive identification method. The method comprises an automatic bandwidth adjustment and analysis process and a signal modulation parameteridentification process based on a node-integrated classifier. Through the automatic bandwidth adjustment and analysis process, the signal characteristics under different analysis bandwidth settings can be solved without manually setting the analysis bandwidth, and a data basis is provided for a subsequent adaptive identification module. Through a signal modulation parameter identification processbased on a node-integrated classifier, high-value signals can be extracted from complex signal features, redundant information and interference information are eliminated, and adaptive stable identification of signal modulation parameters is realized. According to the method, the analysis bandwidth does not need to be set manually, and adaptive identification of signals with different bandwidthscan be realized, so that the operation burden of spectrum monitoring personnel is reduced, and the signal analysis efficiency is greatly improved. The method has good adaptability to signals with different bandwidths, and has good identification accuracy and stability.
Description
technical field [0001] The invention relates to the field of signal modulation parameter identification of spectrum monitoring instruments, in particular to a signal modulation parameter self-adaptive identification method. Background technique [0002] Identification of signal modulation parameters is an important function in spectrum monitoring instruments and the basis for subsequent signal demodulation and analysis. However, the type of signal modulation is complex and difficult to identify. The signal modulation parameter identification function often becomes the short board and bottleneck of the analysis capability of signal monitoring equipment, which has a great impact on the overall performance of the entire signal monitoring instrument. The modulation parameter identification method of the existing instrument must manually set the analysis bandwidth by the operator, and has no bandwidth adaptive capability. When the actual bandwidth of the measured signal does not ...
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IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/00G06F18/241G06F18/214
Inventor 刘德鹏向长波许建华房鹏飞陈安军
Owner CHINA ELECTRONIS TECH INSTR CO LTD