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A Complex pri Modulation Type Recognition Algorithm Based on Extremum Features

A technology of modulation type and recognition method, which is applied in the field of signal processing, can solve problems such as excessive dependence on algorithm recognition performance and complicated recognition process, and achieve the effects of easy hardware implementation, high computing efficiency, and good recognition performance

Active Publication Date: 2022-05-27
NANJING COLLEGE OF INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the recognition performance of the algorithm proposed in the above literature is too dependent on the training data used and the recognition process is relatively complicated.

Method used

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  • A Complex pri Modulation Type Recognition Algorithm Based on Extremum Features
  • A Complex pri Modulation Type Recognition Algorithm Based on Extremum Features
  • A Complex pri Modulation Type Recognition Algorithm Based on Extremum Features

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Experimental program
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Embodiment 1

[0077] Reference attached figure 1 The algorithm flow of complex PRI modulation type identification based on extreme value features is shown, and the specific process includes the following steps:

[0078] (1) Signal preprocessing. Signal preprocessing includes the steps of measuring the time of arrival, calculating the PRI sequence, and removing DC to provide data for subsequent modulation mode identification.

[0079] (1.1) Arrival time measurement. Let the pulse train arrival time sequence be

[0080] TOA=(t 0 ,t 1 ,...t i ,...t M-1 )

[0081] where TOA is the pulse train arrival time sequence, t i is the arrival time of the leading edge of the i-th pulse, and M is the number of pulses in the intercepted pulse train.

[0082] (1.2) Calculate the PRI sequence. The PRI sequence is obtained by making a difference of the arrival time of the pulse train, which can be written as

[0083] p(n)=t n+1 -t n ,n=0,1,....N-1

[0084] where N=M-1. p(n) is the PRI sequence,...

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Abstract

The invention belongs to the technical field of signal processing, and in particular relates to a simple recognition algorithm based on extreme value features. The algorithm sets the extreme value of the PRI spectrum and its difference sequence as the identification feature quantity according to the spectral characteristics of four commonly used complex modulation types PRI sequence, such as jitter, sinusoidal modulation, dwell switching, and slipping, and calculates the judgment threshold based on the CFAR criterion. This identifies four modulation types. Simulation results show that the method has good recognition performance and strong robustness under measurement noise conditions.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a complex PRI modulation type identification algorithm based on extreme value features. Background technique [0002] The identification of pulse repetition interval modulation is an important content of electronic intelligence signal analysis, and its accuracy plays an important role in improving radar performance. PRI (Pulse Repetition Interval, pulse repetition interval) modulation types can generally be divided into fixed, staggered, jitter, sinusoidal modulation, dwell switching, and sliding. Among them, simple PRI modulations such as fixed and staggered can usually be distinguished by using a statistical histogram method during deinterleaving. However, the histogram method cannot identify and distinguish complex PRI modulation systems such as jitter, sinusoidal modulation, dwell switching, and slip. In addition, the study of pulse intervals, especial...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L27/00
CPCH04L27/0012
Inventor 吴珊珊胡国兵王书旺周波聂佰玲汤滟刘馨
Owner NANJING COLLEGE OF INFORMATION TECH