Staggered PRT Clutter Filtering via Signal Segmentation

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Solution Overview

Problem

Existing methods for clutter filtering in staggered pulse repetition time (PRT) signals, such as those used in Doppler weather radar, are complex and require sophisticated processing due to non-uniform signal spacing, limiting their practicality and efficiency.

Innovation Solution

A method and system for separating staggered PRT data signals into equally spaced sequences, allowing for standard clutter filtering techniques to be applied, which includes using a digital filter like the Gaussian Model Adaptive Processing filter to selectively filter clutter signals, reducing the need for interpolation and complex matrix calculations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If staggered PRT method is used to overcome the compromise between unambiguous velocity and unambiguous range, then both quantities can be maximized, but the time series become non-uniformly spaced making standard clutter filtering techniques inapplicable

Engineering Contradiction:
Improveunambiguous velocity and rangeVSAvoidsignal processing complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent divides the staggered PRT time series into multiple uniformly spaced sub-series by separating signals based on their transmission timing. This segmentation allows standard clutter filtering techniques to be applied to each uniform sub-series independently, resolving the contradiction between achieving extended unambiguous velocity and range through staggering while maintaining processing simplicity.

Inventive Principle:
Principle #1Segmentation

2Ease of operation

If interpolation methods are used to convert staggered PRT signals to equi-spaced data, then standard filtering can be applied, but complicated matrix mathematics and sophisticated processing equipment are required

Engineering Contradiction:
Improveapplicability of standard filteringVSAvoidprocessing equipment sophistication
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

Instead of using complex interpolation methods to convert the entire staggered signal to equi-spaced data, the patent segments the signal into multiple uniformly spaced sub-series through timing-based separation. This approach enables the use of simple, standard digital filters without requiring sophisticated processing equipment or complex matrix mathematics.

Inventive Principle:
Principle #1Segmentation

3Reliability

If standard digital filters are used for clutter filtering in uniform PRT systems, then clutter suppression is effective, but the filters cannot be directly applied to staggered PRT signals due to non-uniform spacing

Engineering Contradiction:
Improveclutter suppression capabilityVSAvoidfilter applicability to staggered signals
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent segments the staggered PRT time series into multiple uniformly spaced sub-series based on transmission timing. This segmentation creates uniformly spaced data within each sub-series, making standard digital filters directly applicable for effective clutter suppression without requiring modification of the filter or complex resampling operations.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS7728765B1Method and apparatus for clutter filtering staggered pulse repetition time signals
Publication Date: 2010.06.01 UNIV FOR ATMOSPHERIC RES
  • US7728765B1 patent drawing
  • US7728765B1 patent drawing
  • US7728765B1 patent drawing

AI summary

A method for clutter filtering staggered pulse repetition time data signals is provided. The method comprises the steps of receiving a plurality of staggered pulse repetition time data signals. The data signals may comprise one or more desired signals and one or more clutter signals. The method further comprises separating the staggered pulse repetition time data signals into a first separated data sequence and a second separated data sequence. The first and second separated data sequences comprise equally spaced data samples. The method also comprises the step of filtering the one or more clutter signals from the first and second separated data sequences.