Adaptive TX-RX Crosstalk Cancellation for Close-Range Radar Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Crosstalk between the transmit and receive paths in millimeter-wave radar systems, particularly affecting close-range target detection, is not effectively addressed by existing methods such as high-pass filters and moving target indication, leading to challenges in target detection and classification.
Innovation Solution
Adaptive crosstalk compensation methods that update or maintain a crosstalk compensation factor based on the presence or absence of close-range targets, using polynomial fits and spectral estimation to cancel TX-RX crosstalk, particularly in frequency-modulated continuous-wave radar systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If high-pass filters are used to cope with TX-RX crosstalk, then crosstalk is reduced, but minimum range constraints are introduced affecting close-range target detection
Solution Approach 1:
The patent changes the approach from frequency-domain filtering to time-domain cancellation by dynamically adjusting the crosstalk compensation factor based on detected target ranges. When no close-range targets are detected, the compensation factor is updated to maximize crosstalk cancellation. When close-range targets are detected, the compensation factor is maintained at its previous value to avoid canceling the target signal along with the crosstalk.
Solution Approach 2:
The patent implements a dynamic adaptation mechanism where the crosstalk compensation factor is continuously updated based on the detection results. The system transitions between different operational states (crosstalk cancellation mode and target detection mode) depending on whether close-range targets are present, making the crosstalk compensation adaptive rather than static.
2Measurement precision
If adaptive crosstalk compensation is implemented, then close-range target detection is improved, but system complexity increases
Solution Approach 1:
The patent performs preliminary polynomial fitting to model the crosstalk characteristics before actual target detection. The crosstalk compensation factor is pre-calculated based on the fitted polynomial coefficients, which are determined during initialization or when no targets are present. This preliminary modeling simplifies the real-time processing during actual detection phases.
Solution Approach 2:
The patent introduces a polynomial fit as an intermediary model to represent the crosstalk signal. Instead of directly processing the complex crosstalk cancellation in real-time, the system uses the polynomial coefficients as an intermediate representation that simplifies the computation. The compensation factor is derived from these coefficients, reducing the computational burden during target detection.
3Measurement precision
If polynomial fits are used to model crosstalk, then crosstalk cancellation accuracy is improved, but computational load increases
Solution Approach 1:
The patent applies polynomial fitting selectively rather than continuously. The full polynomial fit computation is performed only during initialization or when no targets are detected (excessive action to ensure accuracy). During normal operation with targets present, the pre-computed compensation factor is reused without re-fitting, reducing computational load while maintaining sufficient accuracy.
Data Source
AI summary
In an embodiment, a method includes: initializing a crosstalk compensation factor indicative of a transmitter-receiver crosstalk between a transmit path of a radar sensor and a receive path of the radar sensor; receiving radar data from the radar sensor; selecting a set of data from the radar data; performing target detection on the set of data; and after performing the target detection on the set of data, when no target is detected in the set of data, updating the crosstalk compensation factor based on the set of data and, after updating the crosstalk compensation factor, generating a radar spectrum based on the radar data and the crosstalk compensation factor, and when a target is detected in the set of data, generating the radar spectrum based on the radar data and the crosstalk compensation factor without updating the crosstalk compensation factor.