PRI Modulation Recognition via DPRI Symbol Sequences
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Solution Overview
Problem
In electronic warfare support systems, accurately identifying pulse repetition interval (PRI) modulation types of radar signals in high-density electromagnetic environments is challenging due to noise interference, which hampers signal detection and identification capabilities.
Innovation Solution
A method and device that extract time of arrival (TOA) information from radar signals, generate PRI and difference of PRIs (DPRI) sequences, and use symbol sequences and characteristic factors to discriminate between different PRI modulation types by comparing these factors with threshold values, effectively distinguishing between jittered, wobulated, sliding-down, sliding-up, and D&S (Dwell & Switch) PRI modulation types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used to identify PRI modulation types in high-density electromagnetic environments, then the system can operate with standard processing, but the identification rate decreases due to noise interference
Solution Approach 1:
The method segments the continuous radar signal into discrete pulse trains, extracting individual pulse parameters (arrival time, width, amplitude) to form a structured pulse train dataset. This segmentation allows systematic analysis of pulse repetition intervals and modulation characteristics, improving identification accuracy by transforming the signal into a manageable discrete form for further processing
Solution Approach 2:
The patent introduces an intermediary identification library containing pre-stored PRI modulation type templates and characteristic parameters. The extracted pulse train data is compared against this library to identify modulation types, serving as a mediator between raw signal processing and final identification. This intermediary structure enables robust noise rejection by matching against known patterns rather than direct signal analysis
2Adaptability or versatility
If the system processes multiple mixed radar signals simultaneously, then the system can handle high-density environments, but the difficulty of detecting and measuring individual signal characteristics increases
Solution Approach 1:
The method applies local quality analysis by examining specific local characteristics of each pulse train separately - such as local PRI variations, pulse width modulations, and amplitude patterns - rather than analyzing the entire mixed signal globally. This localized approach allows the system to identify and separate individual radar signals by their unique local features, making it feasible to process multiple simultaneous signals in high-density environments
Solution Approach 2:
The system segments the mixed signal stream into distinct pulse train groups based on temporal and spectral characteristics. Each pulse train is treated as a separate entity for analysis, allowing the system to independently extract parameters and identify modulation types for each radar source. This segmentation strategy reduces the complexity of detecting individual signal characteristics amidst multiple simultaneous transmissions
Data Source
AI summary
A method and device for recognizing a pulse repetition interval (PRI) modulation type of a radar signal are provided. The method for recognizing a pulse repetition interval (PRI) modulation type includes: extracting time of arrival (TOA) information of pulses aligned in time order from a received radar signal; generating a PRI sequence based on a difference of adjacent TOAs in the TOA information of pulses; generating a difference of PRIs (DPRI) sequence by using a difference of the adjacent PRIs in the PRI sequence; generating respective symbol sequences by using specific partition rules from the PRI sequence and the DPRI sequence; and calculating characteristic factors from the symbol sequences, and comparing the characteristic factors with threshold values for discriminating a PRI modulation type to determine the PRI modulation type. Thus, the PRI modulation type, a promising feature for radar signal identification, can be precisely derived.