Radar Return Signal Processing With Vector Histogram Indexing
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Solution Overview
Problem
Radar systems face challenges in efficiently processing large volumes of data from ubiquitous radar systems, which require high processing capacity and often discard valuable low-amplitude target information due to high detection thresholds, leading to inefficient and volatile processing burdens.
Innovation Solution
A radar system that utilizes a Vector Histogram data structure to process return signals without explicit threshold tests, storing and processing all signal amplitudes, enabling efficient parallel processing and retention of low-amplitude target information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high detection thresholds are used to reduce processing burden, then processing efficiency is improved, but sensitivity to low-amplitude target signal information deteriorates
Solution Approach 1:
The patent segments the signal processing into two distinct pathways: a fast processing channel for high-amplitude signals that uses threshold-based filtering for efficiency, and a detailed processing channel for low-amplitude signals that applies comprehensive analysis without threshold discrimination. This segmentation allows the system to maintain high processing efficiency for dominant signals while preserving sensitivity for weak target signals through dedicated low-amplitude processing.
2Measurement precision
If extensive processing capacity is allocated to maintain sensitivity, then detection accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent applies local quality by assigning different processing qualities to different signal amplitude regions. High-amplitude signals receive simplified threshold-based processing, while low-amplitude signals receive enhanced detailed processing. This localized adaptation of processing quality ensures that computational resources are concentrated where they are most needed (in the low-amplitude region where target signals reside) while maintaining overall system efficiency.
3Productivity
If low-amplitude data is discarded to reduce processing burden, then processing speed is improved, but loss of target signature information increases
Solution Approach 1:
The patent introduces an intermediary mechanism in the form of a dual-pathway processing architecture that acts as a mediator between the need for fast processing and the need to preserve information. Instead of discarding low-amplitude data, the system routes these signals through a specialized processing pathway that maintains their integrity while still enabling overall system productivity through parallel processing and selective detailed analysis.
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
The system maintains high sensitivity to target signal information, allows efficient processing of received signals, and reduces unpredictable processing loads by using a Vector Histogram to store and analyze data, enhancing target classification and detection capabilities.
Implementation Method 1
Radar for air surveillance has taken many forms, with a range of functions, from long-range air defence to terminal traffic control.
Implementation Method 2
the at least one radar receiver is configured to receive corresponding return signals reflected from within the volume of radar coverage
Data Source
AI summary
A radar system includes a radar receiver configured to receive return signals reflected from within a volume of radar coverage. A processor for processing the return signals extracts characteristics from a return signal received in a corresponding coherent processing interval. The extracted characteristics include a set of frequencies and/or a set of times, each frequency and/or time having a respective extracted amplitude of a corresponding set of extracted amplitudes. The processor determines a corresponding amplitude index for each extracted amplitude; and for each extracted amplitude, respectively stores in a memory location addressable via the corresponding amplitude index, a set of return signal related data including information for identifying the corresponding frequency and/or time, and an associated identifier for uniquely identifying, in combination with the amplitude index, that set of return signal related data.