Asynchronous Pulse Processor for Hyperspectral Target Detection

Solution Overview

Problem

Existing hyper-spectral target detection algorithms face challenges in achieving real-time or near real-time performance due to high power consumption and computational limitations, especially on small power-restricted mobile platforms, which affects the precision and reliability of identifying targets in hyper-spectral imaging.

Innovation Solution

The implementation of an asynchronous pulse processing based hyperspectral target detection algorithm that uses stored optimized filter coefficients, optimized using a continuous-time, discrete-amplitude, analog and digital signal-processing circuit, to enhance the speed and efficiency of hyper-spectral imaging and target detection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional DSP approaches are used for hyper-spectral target detection, then measurement precision is improved, but power consumption increases and computational speed decreases

Engineering Contradiction:

Improvetarget detection precisionVSAvoidpower consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent replaces traditional digital signal processing (DSP) approaches with an asynchronous pulse processing (APP) based hardware implementation. This substitution of computational paradigm enables real-time hyper-spectral target detection with significantly reduced power consumption while maintaining detection precision, directly resolving the contradiction between measurement precision and power consumption.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the operational parameters by using stored optimized filter coefficients in the APP-based system. This parameter optimization allows the system to achieve both high precision target detection and low power consumption simultaneously, as the pre-optimized coefficients reduce computational complexity while maintaining detection accuracy.

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If traditional DSP approaches are used for hyper-spectral target detection, then measurement precision is improved, but productivity decreases

Engineering Contradiction:

Improvetarget detection precisionVSAvoidcomputational speed

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The patent replaces traditional digital signal processing (DSP) approaches with an asynchronous pulse processing (APP) based hardware implementation. This substitution of computational paradigm enables real-time hyper-spectral target detection with significantly reduced power consumption while maintaining detection precision, directly resolving the contradiction between measurement precision and power consumption.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent employs pre-stored optimized filter coefficients that are computed in advance. This preliminary action allows the runtime system to simply apply these coefficients without performing complex optimization calculations, thereby achieving both high precision and high computational speed simultaneously.

Inventive Principle:

Principle #10Preliminary action

3Measurement precision

If high-speed sampling and a priori digitization are used, then measurement precision is improved, but power consumption increases

Engineering Contradiction:

Improvesignal measurement precisionVSAvoidpower consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent replaces traditional digital signal processing (DSP) approaches with an asynchronous pulse processing (APP) based hardware implementation. This substitution of computational paradigm enables real-time hyper-spectral target detection with significantly reduced power consumption while maintaining detection precision, directly resolving the contradiction between measurement precision and power consumption.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS8755564B1Technique to increase speed of asynchronous pulse processing based hyperspectral target detection algorithm

Publication Date: 2014.06.17 THE BOEING CO

AI summary

A system, circuit, and methods for increasing speed of an asynchronous pulse processing based hyperspectral target detection algorithm are disclosed. Stored optimized filter coefficients are used to provide initial filter coefficients. The initial filter coefficients are optimized using an asynchronous pulse processor based hyperspectral detection algorithm to provide optimized filter coefficients, and the optimized filter coefficients are stored.