FMCW Radar Deception Detection via Software Signal Analysis
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Solution Overview
Problem
Existing FMCW radar systems cannot implement countermeasures against deception without modifying their hardware configuration, as they rely on hardware components like time-frequency filters and detectors not present in standard FMCW radars.
Innovation Solution
Incorporating a random number generation unit, local signal generation unit, transmission unit, mixer, beat signal generation unit, and a determination unit that executes programs to assess abnormal attenuation and frequency characteristics in the beat signal, allowing for deception detection without altering the hardware configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hardware components like time-frequency filter and detector are added to implement deception countermeasures, then the reliability of the radar system against deception attacks is improved, but the device complexity and cost increase
Solution Approach 1:
The patent replaces hardware-based deception detection (time-frequency filter and detector) with software-based detection algorithms executed on a processor. The determination unit uses programs to analyze beat signals for abnormalities in amplitude, frequency characteristics, and phase relationships, eliminating the need for additional hardware components while maintaining deception detection capability.
Solution Approach 2:
The existing FMCW radar hardware is made multi-functional by enabling it to perform both conventional distance/speed measurement and deception detection using the same components. The processor executes multiple functions: generating chirp signals, processing beat signals for target detection, and analyzing signal characteristics for deception identification, thereby eliminating the need for dedicated deception detection hardware.
2Reliability
If hardware components like time-frequency filter and detector are added to implement deception countermeasures, then the reliability of the radar system against deception attacks is improved, but the manufacturing cost increases
Solution Approach 1:
The patent replaces expensive hardware components (time-frequency filter and detector) with software algorithms running on existing processors. This substitution dramatically reduces manufacturing costs while maintaining deception detection functionality, as software updates can be deployed without hardware changes or additional component procurement.
Solution Approach 2:
The patent uses digital signal processing techniques that create virtual copies of filtering and detection functions through algorithmic implementation rather than physical hardware. The determination unit replicates the functionality of hardware filters and detectors using software-based signal analysis, eliminating the need for physical component duplication.
3Device complexity
If software-based determination programs are used to detect deception, then the device complexity is reduced, but the measurement precision may be affected by processing delays
Solution Approach 1:
The patent performs preliminary analysis of beat signal characteristics (amplitude, frequency, phase) during the signal processing stage before final target detection and measurement. The determination unit evaluates multiple frames of beat signals for deception indicators in advance, allowing the system to flag suspicious measurements before they affect final distance and speed calculations, thereby maintaining measurement precision.
Solution Approach 2:
The determination unit provides feedback to the measurement process by identifying abnormal frames that may indicate deception attacks. When deception is detected, the system can exclude affected measurements from final calculations or adjust processing parameters, ensuring that measurement precision is maintained by correcting for potential errors introduced by software-based detection.
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 effective countermeasures against deception in FMCW radar systems without changing the existing hardware, ensuring accurate distance and speed measurements by identifying and excluding abnormal signal frames.
Implementation Method 1
a transmission unit to generate a transmission signal by frequency-modulating a carrier with the local signal
Implementation Method 2
a mixer to acquire the transmission signal from the transmission unit, mix the transmission signal and a reception signal received by a receiving antenna
Implementation Method 3
a beat signal generation unit to generate a beat signal from the mixer output signal output from the mixer
Data Source
AI summary
A radar (30) is an FMCW radar. A determination unit (901) of the radar (30) executes at least one program of an attenuation determination program (324a), which determines whether an abnormal attenuation is present in a beat signal (S305), and a frequency characteristic determination program (325a), which determines whether an anomaly is present in a frequency characteristic of the beat signal (S305). The radar (30) can determine whether the beat signal (S305) is abnormal by software by executing the attenuation determination program (324a) and the frequency characteristic determination program (325a).