Moving Radar Phase Difference Imaging for Continuous Target Tracking
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Solution Overview
Problem
Conventional radar systems struggle to continuously and accurately track moving targets due to issues like target movement, terrain screening, and low radial velocity, often requiring human intervention to stitch together short track segments.
Innovation Solution
A system utilizing a moving radar with first and second phase centers that transmit and receive signals normal to the direction of movement, performing target motion compensation and acceleration correction to generate phase difference images, which help identify and locate moving targets by determining phase differences between images from each phase center.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional radar surface moving target trackers are used, then target tracking is performed, but tracks are dropped or confused after short time due to target movements and terrain screening
Solution Approach 1:
The system performs preliminary target motion compensation and acceleration correction on radar signals before target detection and tracking. By pre-compensating for motion effects and correcting acceleration, the system maintains target signal integrity through movements and terrain screening, enabling continuous tracking without track drops
Solution Approach 2:
The system transforms radar signals by applying motion compensation and acceleration correction parameter changes. This involves modifying signal parameters to compensate for target motion effects, allowing reliable detection and continuous tracking despite target movements, low radial velocity, and terrain screening
2Duration of action of moving object
If SAR imaging techniques are used to track moving targets, then extended tracking time is achieved, but moving targets appear blurred and are hard to accurately detect
Solution Approach 1:
The system applies preliminary acceleration correction and motion compensation to SAR signals before image formation. This preliminary processing removes motion-induced blurring effects, allowing moving targets to be accurately detected and tracked for extended periods without sacrificing detection precision
Solution Approach 2:
The system applies parameter transformations including acceleration correction and motion compensation to SAR signals. These parameter changes counteract the blurring effects of target motion during SAR image acquisition, enabling both extended tracking duration and accurate target detection
3Reliability
If human operators monitor generated images to stitch track segments, then continuous tracking is achieved, but operational complexity and time consumption increase
Solution Approach 1:
The system performs automated target motion compensation, acceleration correction, and track stitching without human intervention. The processing device automatically processes radar signals, compensates for motion effects, corrects acceleration, and maintains continuous tracks, eliminating the need for human operators to manually stitch track segments
Solution Approach 2:
The system replaces manual human operation with automated electronic processing. The processing device electronically compensates for target motion, corrects acceleration effects, and automatically maintains continuous tracks, substituting the mechanical process of human track stitching with automated signal processing
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
Enables continuous and accurate monitoring of target positions, reducing the need for human operators to monitor images, and effectively tracks moving targets through various movements by generating clear phase difference images that indicate target locations.
Implementation Method 1
The moving radar has first and second phase centers that transmit and receive signals normal to a direction of movement of the radar to monitor a target
Implementation Method 2
The processing device receives first and second ones of the received signals from the first and second phase centers, respectively, and performs a target motion compensation and target acceleration correction for each of the first and second received signals to produce first and second images
Implementation Method 3
The phase difference determination device determines a phase difference image from a comparison of the first and second images
Data Source
AI summary
A system comprising a moving radar, a processing device, and a phase difference determination device is used to monitor a target. The moving radar has first and second phase centers that transmit and receive signals normal to a direction of movement of the radar. The processing device receives first and second ones of the received signals from the first and second phase centers, respectively, and performs a target motion compensation and target acceleration correction for each of the first and second received signals to produce first and second images. The phase difference determination device determines a phase difference image from a comparison of the first and second images.