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A joint feature extraction method based on hb under non-reconstruction condition

A technique of combining features and reconstructing conditions, which is applied in the field of signal processing, can solve problems such as easy drift of recognition results, and achieve good recognition results

Active Publication Date: 2022-05-24
SICHUAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem that the recognition result of a single feature is easy to drift, the present invention proposes a multi-feature joint feature recognition method

Method used

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  • A joint feature extraction method based on hb under non-reconstruction condition
  • A joint feature extraction method based on hb under non-reconstruction condition
  • A joint feature extraction method based on hb under non-reconstruction condition

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Experimental program
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Embodiment Construction

[0025] 1. Generate the radiation source signal

[0026] The transmitter contains many nonlinear devices, and the established system model mainly considers the nonlinearity of the power amplifier as the mechanism of the fingerprint of the radiation source. To build a Taylor series model, let is the order of the Taylor polynomial, for the transmitter The output can be expressed as

[0027] (1)

[0028] in

[0029] (2)

[0030] is the input signal of the power amplifier, where for the first transmitters at time The baseband modulated signal at , is the total number of radiation sources. is the carrier frequency, is the sampling period, are the coefficients of the Taylor polynomial. Represents radiation source power amplifier output signal. time The received signal can be expressed as

[0031] (3)

[0032] in from the radiation source the channel fading coefficient to the receiver, is additive noise. Substitute equation (1) into equat...

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Abstract

The invention belongs to the field of signal processing, and proposes an HB-based signal joint feature extraction method under non-reconstruction conditions for the easy drift of single feature existence identification results, which is specifically used to deal with the classification and identification of radiation source signals. A single feature is extracted as a recognition feature, and sometimes the boundary of feature classification is blurred, which will reduce the recognition effect. This problem is addressed by joint features combining higher-order cumulants with bispectrum. The high-order cumulant can well retain information such as amplitude and phase. The bispectrum is the lowest-order high-order spectrum, and its advantage lies in its simple calculation. Firstly, the radiation source signal is generated, and then the received signal is compressed and sampled by MWC, and its amplitude is normalized. Then calculate the third-sixth order cumulant and square eighth-order cumulant, and extract the high-order cumulant features. At the same time, the bispectral coefficient estimation features of the sampling matrix are extracted. Finally, three different high-order cumulant features and bispectral coefficient estimation features are used as joint features, which are passed into the SVM classifier for classification.

Description

technical field [0001] The invention belongs to the field of signal processing, and relates to a signal joint feature extraction method based on HB under non-reconstruction conditions, which is specifically used for processing the problem of classification and identification of radiation source signals. Background technique [0002] Specific radiation source identification identifies different emitters by distinguishing individual emitters from other emitters based on their unique characteristics. Radiation source identification technology is mainly used in military communications. It becomes increasingly important with the advent of new technologies, such as cognitive radios and self-organizing networks. [0003] Based on how the transmitter works, source identification enables transmitter identification for transient or steady-state signals. Transient signals are also known as on / off signals, and the resulting transmitter specificity can be used to extract features. To ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06F2218/02G06F2218/08G06F2218/12
Inventor 李智吴俊王宇阳解建兰李健
Owner SICHUAN UNIV