Sliding Window Range Integrator for Radar Target Reconstruction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
High resolution radars often break larger targets into multiple range cells, leading to inefficient detection and reconstruction, as they process each cell individually, resulting in loss of target information and reduced detection performance.
Innovation Solution
The implementation of a Sliding Window Range Indicator for non-coherent integration of multiple contiguous range cells to reconstruct larger target cross-sections before detection, minimizing the loss associated with smaller radar cross-sections and improving detection efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high resolution radar processes each range cell individually, then measurement precision is improved, but loss of information increases and detection performance deteriorates
Solution Approach 1:
The patent combines multiple adjacent range cells into a sliding window integration region, non-coherently integrating the energy across these cells to reconstruct the complete target cross-section. This merging approach recovers target information that would be lost when processing cells individually, directly resolving the contradiction between maintaining high range resolution and preventing information loss.
2Measurement precision
If high resolution radar processes each range cell individually, then measurement precision is improved, but detection performance worsens
Solution Approach 1:
By non-coherently integrating energy across multiple range cells within a sliding window, the patent accumulates target energy that would be dispersed when processing cells individually. This improves signal-to-noise ratio and detection performance while preserving the ability to resolve target features, thus resolving the contradiction between measurement precision and detection reliability.
3Manufacturing precision
If high resolution radar processes each range cell individually, then manufacturing precision is improved, but productivity deteriorates
Solution Approach 1:
The patent performs preliminary non-coherent integration of range cell energy within sliding windows before the final detection and reconstruction stages. This preliminary action consolidates target energy and reduces the computational burden of subsequent processing, thereby improving both reconstruction accuracy and processing efficiency simultaneously.
4Loss of information
If sliding window integration is applied, then loss of information is reduced, but device complexity increases
Solution Approach 1:
The patent replaces complex coherent integration mechanisms with simpler non-coherent integration, summing the magnitudes of range cell energies without requiring phase information. This substitution reduces computational complexity and processing requirements while still effectively recovering target information through energy accumulation across multiple cells.
Data Source
AI summary
An improved radar system and method for detecting targets is described. The invention discriminately detects and analyzes a target by sub-dividing it into sections, and then, in combination with a sliding window integrator, assimilates accumulated high resolution channel and low resolution channel data to construct a complete image.