Single Sampling Radar Signal Processing System
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Solution Overview
Problem
Existing radar signal processing systems based on compressed sensing face issues with a large number of analog-to-digital converters (ADCs), low compression ratio, and poor detection performance due to limited implementations.
Innovation Solution
A single sampling radar signal processing system comprising a pseudo-random sequence generator, integral sampler, ADC module, and compression domain detector, where the integral sampler controls initial sampling times of pulse signals, allowing for sequential delays and compression sampling at a lower frequency than the Nyquist frequency, reducing the number of ADCs and enhancing detection performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional Nyquist sampling is used to process radar signals with large bandwidth, then the radar signal can be fully captured, but the system requires a large number of ADCs, has long processing time, and high real-time processing cost
Solution Approach 1:
The patent extracts only the essential information from the radar signal by using compressed sensing theory. Instead of capturing the entire signal through Nyquist sampling, the system uses a compression sampling circuit to extract key features (amplitude, frequency, phase) directly from the analog signal, eliminating the need for full-bandwidth digital conversion and reducing the number of ADCs required
Solution Approach 2:
The patent replaces the traditional mechanical sampling process (analog-to-digital conversion at Nyquist rate) with a compressed sensing approach that uses analog signal processing techniques. The compression sampling circuit performs sampling and compression in the analog domain before digital conversion, substituting the conventional digital signal processing pipeline with an hybrid analog-digital approach
2Reliability
If traditional Nyquist sampling is used to process radar signals, then the signal can be fully digitized, but the processing time becomes long and real-time processing cost increases
Solution Approach 1:
The patent applies preliminary action by performing signal compression and feature extraction in the analog domain before digital conversion. The compression sampling circuit pre-processes the analog signal to reduce its dimensionality and extract essential features, so that when digital conversion occurs, the data volume is already reduced, significantly decreasing processing time
Solution Approach 2:
The patent skips the intermediate step of full-bandwidth digital conversion by directly converting compressed analog signals to digital format. This rushing through of the traditional sampling-therefore-conversion process eliminates the time-consuming Nyquist sampling phase while maintaining signal integrity through compressed sensing theory
3Device complexity
If compressed sensing is used to process radar signals, then the number of ADCs is reduced, but the system has low compression ratio and poor detection performance
Solution Approach 1:
The patent changes the sampling parameters by using non-uniform compression sampling instead of uniform Nyquist sampling. The compression sampling circuit dynamically adjusts sampling intervals and rates based on signal characteristics, optimizing the balance between compression ratio and detection accuracy. This parameter optimization enables both reduced ADC count and maintained detection performance
4Device complexity
If compressed sensing is implemented with random sampling, then the number of ADCs is reduced, but the compression ratio remains low and detection performance is poor
Solution Approach 1:
The patent introduces dynamics by making the compression sampling process adaptive rather than static. The compression sampling circuit dynamically adjusts sampling parameters based on real-time signal analysis, optimizing the compression ratio for each specific radar signal condition. This dynamic adaptation enables higher compression ratios compared to fixed random sampling methods
Data Source
AI summary
A single sampling radar signal processing system is disclosed, wherein the system comprises a pseudo-random sequence generator, an integral sampler, an ADC module, a controller and a compression domain detector, wherein the integral sampler is connected to the pseudo-random sequence generator, the controller and the ADC module, respectively, and the ADC module is connected to the compression domain detector. Since the initial integral sampling time of each pulse signal can be controlled when the integral sampler performs integral sampling on the pulse signal in the radar signal, each pulse signal is sequentially delayed by different times during integral sampling, and a sample value is obtained by compression sampling in a single pulse repetition period. A single sampling radar signal processing method is also disclosed.