Cooperative Radar Angle Estimation Using Computed Bistatic Control Vectors
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Solution Overview
Problem
Cooperative radar sensor networks face challenges in angle estimation and calibration due to the complexity of measuring calibration matrices for bistatic paths, making it difficult to achieve optimal performance and accuracy in angle estimation.
Innovation Solution
A method for cooperative radar sensor networks that calculates control vectors with bistatic components based on monostatic components of individual radar sensors, allowing angle estimation without measuring the calibration matrix of bistatic paths, and utilizes phase-coherent transmission signals to evaluate both monostatic and bistatic paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If calibration matrices for bistatic paths are measured directly, then measurement precision is improved, but device complexity and calibration effort increase significantly
Solution Approach 1:
The patent segments the calibration process into two independent parts: monostatic calibration for each individual radar sensor, and then computational combination of these monostatic calibration results to derive bistatic control vectors. This avoids the need for complex direct bistatic calibration while maintaining measurement precision through the use of phase-coherent signal combination.
Solution Approach 2:
The patent introduces monostatic calibration results as an intermediary step. Instead of directly calibrating bistatic paths between sensor pairs, the system first performs simpler monostatic calibrations on individual sensors, then uses these intermediate results computationally to generate the necessary bistatic control vectors for angle estimation.
2Measurement precision
If a larger antenna aperture is used in cooperative radar sensor networks, then angle estimation accuracy is improved, but the complexity of coordinating multiple sensors increases
Solution Approach 1:
The patent merges the aperture contributions of multiple radar sensors by combining their phase-coherent signals. The control vectors are designed to represent the combined aperture of all sensors in the network, allowing the system to achieve the angular resolution and accuracy benefits of a large aperture while managing coordination complexity through standardized signal processing procedures.
Data Source
AI summary
A method for a cooperative radar sensor network having a plurality of individual radar sensors, for estimating an angle of a radar target or for preparing the radar sensor network therefor. An association that associates a control vector (Aα) having bistatic components with each of a plurality of angles is determined. A measurement vector associated with a detected radar target is calculated, wherein the measurement vector has bistatic components.