Doppler-Acceleration Matched Filter Radar Target Detection

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Solution Overview

Problem

Current radar systems face challenges in effectively separating moving target returns from stationary clutter returns, as existing techniques often fail to distinguish between them due to similar Doppler shifts and lack of consideration for acceleration.

Innovation Solution

The implementation of a Doppler-acceleration matched filter system in conjunction with range and azimuth matched filters, along with an adaptive threshold device, to process radar return signals and identify targets by separating their Doppler shift and acceleration from those of ground clutter.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If traditional Doppler processing is used to separate moving targets from stationary clutter, then processing complexity is reduced, but the ability to distinguish moving targets from clutter deteriorates because both have similar Doppler shifts

Engineering Contradiction:
Improveprocessing complexityVSAvoidtarget-clutter separation capability
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent applies parameter changes by transitioning from traditional Doppler frequency analysis to acceleration-based analysis. Instead of relying solely on Doppler shift parameters that are similar for both targets and clutter, the system extracts acceleration parameters that differ significantly between moving targets and stationary clutter, thereby improving separation capability while managing processing complexity

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent introduces an additional dimension to the signal processing by incorporating acceleration information alongside traditional range and Doppler parameters. This creates a multi-dimensional parameter space (range, Doppler, acceleration) that enables better discrimination between targets and clutter, as moving targets exhibit different acceleration characteristics compared to stationary ground clutter

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Measurement precision

If acceleration-based processing is added to differentiate moving targets from stationary clutter, then target detection accuracy is improved, but processing complexity increases

Engineering Contradiction:
Improvetarget detection accuracyVSAvoidprocessing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies preliminary action by performing range cell ordering and signal integration before acceleration parameter extraction. This preprocessing organizes the radar return signals in a structured manner, making subsequent acceleration analysis more efficient and reducing the overall processing complexity despite adding acceleration-based detection capabilities

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent segments the radar processing into distinct stages: range cell ordering, signal integration, acceleration parameter extraction, and threshold comparison. This segmentation allows each processing stage to be optimized independently, managing complexity while achieving high target detection accuracy through systematic multi-stage analysis

Inventive Principle:
Principle #1Segmentation

3Reliability

If radar signals are processed to separate wanted target information from unwanted clutter and noise, then detection capability is improved, but information loss increases due to aggressive filtering

Engineering Contradiction:
Improvedetection capabilityVSAvoidsignal information loss
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent applies local quality by applying different processing strategies to different signal components based on their characteristics. Range cell ordering preserves signals from genuine targets while suppressing clutter, and acceleration-based filtering selectively removes stationary clutter components while maintaining moving target signals, thereby improving detection capability with minimal information loss

Inventive Principle:
Principle #3Local quality

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 approach enhances the ability to differentiate between moving targets and stationary clutter, providing improved resolution and detection capabilities by processing radar returns into range and azimuth cells, thereby enhancing the separation of wanted information from unwanted noise.

Implementation Method 1

separate moving target return from stationary clutter return... separating their Doppler shift and acceleration from those of ground clutter

Methodology Applied
Scientific EffectDoppler effect: Doppler Effect

Data Source

PatentUS8760340B2Processing radar return signals to detect targets
Publication Date: 2014.06.24 RAYTHEON CO
  • US8760340B2 patent drawing
  • US8760340B2 patent drawing
  • US8760340B2 patent drawing

AI summary

In certain embodiments, an apparatus comprises range matched filters and a Doppler-acceleration matched filter system. The matched filters are configured to receive radar return signals detected by an antenna and range match filter the radar return signals to place the radar return signals into range cells. The Doppler-acceleration matched filter system is configured to Doppler-acceleration process the radar return signals in the range cells to facilitate identification of one or more targets.