Hermetic Transform Radar Signal Processing

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Solution Overview

Problem

Current RADAR systems face limitations in achieving high resolution in space, time, and frequency measurements, leading to suboptimal object detection, localization, and classification, particularly in phased-array, Doppler filter processing, and synthetic-aperture applications.

Innovation Solution

The implementation of the Hermetic Transform for enhanced RADAR signal processing, which includes beamforming, Doppler filtering, and ambiguity function measurements, providing higher resolution and improved signal-to-noise ratio through discrete Hermetic Transform processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional phased-array and Doppler filter processing are used in RADAR systems, then the systems can perform basic object detection and localization, but the spatial, frequency, and time resolution remain suboptimal

Engineering Contradiction:

Improvespatial, frequency, and time resolutionVSAvoidsignal processing complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies the Hermetic Transform, which fundamentally changes the mathematical transformation parameters from conventional Fourier-based methods to Hermetic-based methods. This parameter change in the signal processing domain enables simultaneous improvement in spatial, frequency, and time resolution without the traditional trade-offs, directly resolving the technical contradiction between measurement precision and processing complexity

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent replaces conventional Doppler filter processing and phased-array beamforming mechanisms with Hermetic Transform-based processing. This substitution eliminates the need for complex multi-stage filtering and beamforming operations while achieving superior resolution, thereby reducing overall signal processing complexity while improving measurement precision

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If conventional signal processing methods are used, then the RADAR system can operate with standard processing complexity, but the signal-to-noise ratio and detection precision are limited

Engineering Contradiction:

Improvesignal-to-noise ratioVSAvoidprocessing complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

By changing the fundamental mathematical parameters of the signal processing from Fourier-based to Hermetic-based transforms, the patent achieves superior noise filtering capabilities and enhanced signal-to-noise ratio. The Hermetic Transform's mathematical properties provide inherent noise rejection while maintaining signal integrity, improving reliability without proportionally increasing processing complexity

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If conventional Doppler processing is used, then the system can measure Doppler shifts, but the Doppler resolution and velocity measurement precision are insufficient

Engineering Contradiction:

ImproveDoppler resolutionVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent substitutes conventional multi-tap Doppler filter banks with a single Hermetic Transform operation. This substitution achieves higher Doppler resolution through the Hermetic Transform's superior frequency discrimination capability while reducing processing time by eliminating the need for multiple filtering stages and iterations required in conventional approaches

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

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 results in approximately an order-of-magnitude improvement in spatial, frequency, and time resolution, enabling more precise object detection, localization, and classification, with enhanced beam resolution and Doppler shift determination.

Implementation Method 1

Methodology Applied

Scientific EffectHermetic Transform:

Implementation Method 2

the transmission and reception antennas use multiple elements that can be processed with phased-array (beam-forming) techniques to gain resolution in angle

Methodology Applied

Scientific EffectPhased-array beam-forming: Interference

Implementation Method 3

Due to the well-known Doppler Effect, the wavelength is altered due to relative motion along a line between source and target, and by relative motion along a line between the target and the receiver 5 so that it will be received with a potentially different wavelength (λ). Due to the invariance of the speed of electromagnetic propagation, the frequency of the wave is therefore altered. This alteration is referred to as the 'Doppler Frequency Shift'.

Methodology Applied

Scientific EffectDoppler Effect: Doppler Effect

Implementation Method 4

the finite speed of light c, causes an observable time delay to be present in receiving the echo from target, which allows distance to the target to also be inferred

Methodology Applied

Scientific EffectTime of Flight: Time of Flight

Data Source

PatentUS9829568B2Radar using hermetic transforms

Publication Date: 2017.11.28 VERTOCOMM INC

AI summary

The systems and methods use Hermetic Transform processing to achieve higher resolution in space, time, and frequency measurements, leading to enhanced object detection, localization, and classification, and can improve several aspects of RADAR, including: phased-array beamforming, Doppler filter processing, pulse compression/replica correlation, and in the creation of higher resolution ambiguity function measurements for both multi-static active and passive RADAR.