Radar Beat Signal Processing Against Cover Chirp Jamming
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Solution Overview
Problem
Conventional radar systems are ineffective against advanced electronic attacks known as cover chirp jamming, which obscure the detection of target objects by shifting frequencies, making it difficult to calculate relative distance and velocity.
Innovation Solution
A signal processing device that accumulates beat signals in frame units, generates histograms and power spectra, and uses statistical analysis to identify peaks in these signals to calculate relative distance and velocity despite cover chirp jamming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional radar detection methods are used, then the system is simple and inexpensive, but the detection reliability deteriorates under cover chirp jamming attacks
Solution Approach 1:
The radar signal processing is divided into multiple independent modules: waveform accumulation unit, distance calculation unit, and velocity calculation unit. Each module processes specific aspects of the beat signals independently, allowing the system to maintain reliability under jamming while keeping individual processing tasks manageable and modular.
Solution Approach 2:
The waveform accumulation unit performs preliminary processing by accumulating beat signals in frame units before distance and velocity calculations. This pre-accumulation step enhances the signal-to-noise ratio and prepares the data for subsequent analysis, improving detection reliability before the actual measurement calculations are performed.
2Measurement precision
If statistical analysis methods are applied to counter cover chirp jamming, then the detection accuracy improves, but the processing time increases
Solution Approach 1:
The statistical analysis is segmented into distinct processing stages: frame-based waveform accumulation, histogram generation for distance, and power spectrum analysis for velocity. This segmentation allows parallel processing of distance and velocity calculations, reducing overall processing time while maintaining measurement precision.
Solution Approach 2:
The system processes radar signals in periodic frame units, accumulating beat signals over multiple frames before performing statistical analysis. This periodic processing approach balances measurement accuracy with processing time by analyzing signals at regular intervals rather than continuously.
3Object-affected harmful factors
If frame-based waveform accumulation is performed, then the resistance to cover chirp jamming improves, but the device complexity increases
Solution Approach 1:
The jamming resistance mechanism is segmented into specialized processing units: waveform accumulation unit for temporal integration, distance calculation unit for range analysis, and velocity calculation unit for speed analysis. Each unit handles specific aspects of jamming resistance, making the overall system more manageable despite the increased complexity.
Solution Approach 2:
The waveform accumulation unit serves multiple functions: it accumulates beat signals for jamming resistance, prepares data for distance calculation, and provides input for velocity analysis. This multi-functionality reduces the need for separate dedicated circuits for each processing task, moderating the increase in device complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate calculation of relative distance and velocity of target objects even when cover chirp jamming is present, effectively counteracting this type of electronic attack.
Implementation Method 1
a mixing signal obtained by performing mixing of a local wave that is transmitted to detect a target object and a received wave that is received as a reflected wave corresponding to the local wave
Implementation Method 2
a velocity based on a Doppler bin number corresponding to a peak in the difference statistic graph as a relative velocity of the target object
Data Source
AI summary
A waveform shaping unit (220) accumulates beat signals S9, which are beat signals S8 in frame units. A distance calculation unit (252) generates a histogram of range bins using the beat signals S9, and calculates a distance based on a range bin number corresponding to a peak in the histogram as a relative distance of a target object. A velocity calculation unit (253) generates a power spectrum of Doppler bins for each time period or for each range bin using the beat signals S9, generates a difference statistic graph that indicates a statistic of differences between power spectra, and calculates a velocity based on a Doppler bin number corresponding to a peak in the difference statistic graph as a relative velocity of the target object.