Nonlinear FM Pulse Compression for Precise Target Resolution

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Solution Overview

Problem

Conventional pulse compression techniques in RADAR and LIDAR systems do not achieve optimal range resolution and precision, leading to suboptimal target detection and identification, especially for closely spaced targets.

Innovation Solution

A non-linear FM pulse compression system that modulates the frequency of the output signal using logarithmic, inversely proportional, or random permutation methods, enhancing the auto-correlation properties and improving pulse compression efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional linear FM pulse compression techniques are used, then the system is simple to implement, but the target resolution and range precision are suboptimal

Engineering Contradiction:
Improvetarget resolutionVSAvoidmodulation complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies parameter changes by transitioning from linear FM modulation to non-linear FM modulation with specific frequency progression patterns (logarithmic, inverse, random permutation). This changes the modulation parameter from linear to non-linear relationships, achieving superior pulse compression and target resolution while maintaining practical implementability through defined mathematical relationships.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent introduces dynamic modulation schemes where the frequency progression is not static but follows time-varying patterns. The non-linear FM schemes dynamically adjust frequency based on time-dependent relationships (logarithmic growth, inverse proportionality, or random permutation), creating more informative return signals for resolution enhancement.

Inventive Principle:
Principle #15Dynamics

2Reliability

If conventional pulse compression techniques are used, then the system complexity is low, but the signal-to-noise ratio and target detection precision are insufficient

Engineering Contradiction:
Improvetarget detection precisionVSAvoidmodulation scheme complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent changes the modulation parameter from conventional linear FM to non-linear FM with specific frequency-time relationships. This parameter transformation creates unique signal characteristics that improve auto-correlation properties and enhance target detection precision by reducing ambiguity and improving signal-to-noise ratio in the correlation process.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent substitutes the conventional linear modulation mechanism with non-linear FM modulation mechanisms. This substitution replaces the simple linear frequency sweep with more complex non-linear frequency progression patterns that provide better resolution and detection capabilities without requiring fundamental changes to the radar system architecture.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If non-linear FM modulation with random permutation is used, then the pulse compression efficiency is maximized, but the implementation complexity increases

Engineering Contradiction:
Improvepulse compression efficiencyVSAvoidmodulation implementation complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent applies parameter changes by implementing random permutation of frequency samples in the non-linear FM modulation. This randomizes the frequency progression pattern while maintaining the non-linear characteristic, achieving optimal pulse compression efficiency by creating unique signal fingerprints that maximize compression ratio and minimize sidelobe interference.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent performs preliminary action by pre-defining the non-linear FM modulation patterns (logarithmic, inverse, random permutation) before signal transmission. These patterns are prepared and stored as lookup tables or pre-computed sequences, allowing the modulation to be applied efficiently during operation without real-time complex calculations, thus balancing compression efficiency with implementation feasibility.

Inventive Principle:
Principle #10Preliminary action

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 non-linear FM pulse compression system significantly improves target resolution and precision, enabling better detection and identification of closely spaced targets by enhancing the auto-correlation functions and reducing noise interference.

Implementation Method 1

The non-linear FM transmitter is adapted to modulate a frequency of the output signal by at least one of the following: increasing the frequency of the output signal as a logarithmic function of the frequency of samples in the input signal; modulating the frequency of the output signal in an inversely proportional relationship to the frequency of samples in the input signal; and modulating the frequency of the output signal according to a random permutation of the frequency of the input signal

Methodology Applied
Scientific EffectFrequency Modulation: Phase Modulation

Implementation Method 2

The non-linear FM receiver is adapted to auto-correlate the output signal with a return signal

Methodology Applied
Scientific EffectAuto-correlation:

Data Source

PatentUS8747321B2Structured random permutation pulse compression systems and methods
Publication Date: 2014.06.10 SCIDEA RES
  • US8747321B2 patent drawing
  • US8747321B2 patent drawing
  • US8747321B2 patent drawing

AI summary

A structured randomly permutated pulse compression system comprises an FM transmitter configured to receive an input signal and transmit an output signal. The FM transmitter is configured to modulate the frequency of the output signal by modulating the frequency of the output signal according to a structured random permutation of time samples of the input signal. At least one antenna interfaces with the FM transmitter. The FM receiver is configured to auto-correlate the output signal with a return signal.