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MFR waveform unit extraction method based on step-by-step variable threshold isolated forest

An extraction method and isolated technology, which is applied in the field of MFR waveform unit extraction based on step-variable threshold isolation forest, can solve the problems of poor robustness of document 1 and high computational complexity of document 2, so as to reduce the computational complexity and solve the problem of high computational complexity. Quantity problem, the effect of excellent performance

Pending Publication Date: 2022-08-02
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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Problems solved by technology

The above method completes the task of waveform unit extraction based on the characteristics of the radar signal itself, and fits the actual application scenario. However, there are problems such as poor robustness in Document 1 and high computational complexity in Document 2.

Method used

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  • MFR waveform unit extraction method based on step-by-step variable threshold isolated forest
  • MFR waveform unit extraction method based on step-by-step variable threshold isolated forest
  • MFR waveform unit extraction method based on step-by-step variable threshold isolated forest

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Experimental program
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Embodiment approach

[0094] As an embodiment, this step specifically includes the following sub-steps:

[0095] S1041: Build a dataset

[0096] Before building and training the waveform unit extraction model, a data set for model training should be prepared. In this implementation, a data set D is formed according to the difference set {ΔPRI, ΔRF, ΔPW}, specifically: data set

[0097] S1042: the preset number of isolated trees t and the number of subsamples of a single isolated tree ψ;

[0098] Specifically, the isolated forest is composed of multiple isolated trees (iTrees). Considering the extraction performance and computational load of the model, the number of isolated trees and the subsample trees of a single isolated tree can be preset as required.

[0099] S1043: From the given dataset Randomly select ψ sample points to form a new data set D', and put D' into the root node of the isolated tree to be trained;

[0100] S1044: Randomly designate a dimension q from the three dimensions...

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Abstract

The invention provides an MFR waveform unit extraction method based on a step-by-step variable threshold isolated forest. The method comprises the following steps of: firstly, carrying out leakage pulse and pseudo pulse detection on a received multifunctional radar pulse signal, and after first-order differential data of pulse parameters are obtained, searching a starting pulse of a waveform unit by utilizing a step-by-step variable threshold isolation forest algorithm so as to complete a task of unsupervised extraction of the waveform unit; theoretical analysis and simulation experiments show that the method can complete the extraction work of the waveform unit under the condition of almost no priori knowledge, and has relatively high robustness and relatively low calculation complexity at the same time.

Description

technical field [0001] The invention relates to the technical field of radar, in particular to a method for extracting MFR waveform units based on a step-variable threshold isolated forest. Background technique [0002] Multi-Function Radar (MFR) is an advanced system radar that is widely deployed and applied because of its simultaneous capabilities such as search, intercept, tracking, range detection, and guidance. Large-scale dynamic systems with powerful data processing and beam steering capabilities of phased array antennas. The analysis of intercepted radar signals by means of electronic reconnaissance is an important way to obtain electronic intelligence and electromagnetic situation. With the large-scale application of MFR, MFR working pattern recognition has become an important part of modern electronic reconnaissance systems. Effective analysis and identification of MFR radiation source signals can provide important technical support for target threat level judgmen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/292
CPCG01S7/292Y02P90/30G01S7/021
Inventor 张红敏蒋能黄洁李一鸣吴济州陈天翊高暄皓程巍轶
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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