Scanning Radar Azimuth Measurement via Simulation Model Comparison
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Solution Overview
Problem
Conventional rotational radar systems face challenges in accurately measuring the azimuth of a target due to low signal-to-noise ratios and fluctuating radar cross-sections, resulting in low precision, especially when the target is moving or the radar aspect angle changes.
Innovation Solution
A method for measuring the azimuth of a target using a scanning radar that involves establishing a radar scanning model, selecting an antenna pattern, setting radar parameters, creating and normalizing reflected signals simulation curves, and comparing simulation data with scanning data to determine the target's azimuth, which reduces the need for multiple coherent processing intervals and enhances precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional rotational radar uses two distinct stable reflected signals for azimuth measurement, then the measurement process is simple, but the measurement precision is low due to low signal-to-noise ratio and fluctuating radar cross-section
Solution Approach 1:
The patent pre-establishes a radar scanning model with simulated reflected signal curves before actual measurement. This preliminary simulation data is stored for comparison with real signals, allowing the system to determine azimuth without requiring multiple stable real signals, thereby improving precision while reducing reliability concerns
Solution Approach 2:
The patent creates simulated reflected signal curves that copy the characteristics of real radar signals. By comparing actual signals against these pre-generated simulation curves, the system achieves accurate azimuth measurement without being constrained by signal-to-noise ratio or radar cross-section fluctuations
2Object-affected harmful factors
If pulse-Doppler radar mitigates interference, then the anti-interference capability is improved, but the azimuth measurement precision remains low due to the same signal stability issues
Solution Approach 1:
The patent pre-generates a comprehensive library of simulated reflected signal curves covering various target scenarios. This preliminary action allows the system to quickly match real signals against the library without being affected by interference, simultaneously achieving both interference mitigation and high precision measurement
3Reliability
If conventional radar requires multiple coherent processing intervals for target detection, then the detection reliability is improved, but the measurement time and resource consumption increase
Solution Approach 1:
The patent pre-establishes the radar scanning model and generates all necessary simulated reflected signal curves before actual measurement. This preliminary preparation enables single-interval azimuth determination by direct comparison, eliminating the need for multiple coherent processing intervals while maintaining reliability through the robustness of the simulation-based approach
Solution Approach 2:
The patent skips the traditional multi-interval coherent processing step by directly comparing real reflected signals against the pre-established simulation curves. This rushing through the intermediate processing steps significantly reduces measurement time while the comprehensive simulation library ensures detection reliability
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
This method allows for precise azimuth measurement of moving targets with reduced interference from background clutter, utilizing minimal radar resources and improving measurement accuracy.
Implementation Method 1
Radar (RAdio Detection And Ranging) is an object-detection system that uses radio waves to determine the range, angle, or velocity of objects. It can be used to detect aircraft, ships, motor vehicles, and weather formations.
Implementation Method 2
A pulse-Doppler radar is a specialized radar that uses the Doppler effect to produce velocity data about objects at a distance. It does this by bouncing a microwave signal off a desired target and analyzing how the object's motion has altered the frequency of the returned signal.
Data Source
AI summary
A method of measuring an azimuth of a target by a scanning radar includes (a) establishing a radar scanning model, including (a1) selecting an antenna pattern, (a2) setting a set of radar parameters, (a3) creating reflected signals simulation curve, (a4) sampling the reflected signals simulation curve to create a plurality of sets of simulation data, each set is consisted of successive samples, and (a5) normalizing each sample of each set of simulation data to create a plurality sets of records of normalized simulation data; (b) obtaining normalized scanning data; (c) comparing records of normalized simulation data with the normalized scanning data; and (d) obtaining an azimuth of the target.