Radar Self-Interference Reduction via Calibration
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Solution Overview
Problem
Radar systems face self-interference issues due to the close proximity of transmitters and receivers, leading to misidentification or misdetection of objects.
Innovation Solution
The radar system operates in two modes: calibration and sensing. In the calibration mode, it transmits test signals to estimate channel responses, which are then used to generate self-interference correction signals in the sensing mode, reducing the impact of self-interference on received signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If the radar system places transmitters and receivers in close proximity to achieve compact design, then the device size is reduced, but self-interference increases causing misidentification or misdetection of objects
Solution Approach 1:
The system performs preliminary calibration by transmitting calibration signals before actual object detection to characterize the self-interference channel. The processor determines calibration signals, transmits them, receives reflected calibration signals, and processes these signals to determine channel responses that describe the self-interference characteristics. This preliminary characterization enables subsequent correction during actual sensing operations.
Solution Approach 2:
The system uses feedback from received calibration signals to determine channel responses that describe self-interference. The processor receives reflected calibration signals, processes them to determine channel responses, and then uses these responses to correct subsequent received signals. This feedback loop enables the system to adapt to and compensate for self-interference effects in real-time.
2Power
If the radar system transmits high-power sensing signals to improve detection range, then the detection capability is enhanced, but self-interference from transmitter leakage to receiver increases
Solution Approach 1:
The system extracts and separates the self-interference component from the total received signal. By determining channel responses that specifically characterize the self-interference path, the processor can isolate and remove this harmful component from the received signals, allowing high-power transmission without the full brunt of self-interference degradation.
Solution Approach 2:
The system converts the harmful self-interference effect into a useful characterization of the transmission channel. By measuring the calibration signals and processing the reflected calibration signals to determine channel responses, the system transforms the self-interference phenomenon into actionable information that enables correction and improves overall system performance.
Data Source
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AI summary
A radar system includes a first transmitter channel and a first receiver channel. In a first mode of operation the radar system determines a first channel response. In a second mode of operation, the radar system modifies a received signal based on the first channel response.