Radar Observation Apparatus Using Prony Method for Source Extraction
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Solution Overview
Problem
Conventional radar observation systems require additional complexity, weight, and cost to obtain phase information of electric field signals, which is not necessary for direct radio wave source information extraction, especially when the frequency of incoming radio waves is unknown.
Innovation Solution
An observation apparatus that performs Fourier transforms on square root signals of received electric power and antenna patterns, divides frequency signals, and fits them with exponential functions using Prony's method to model radio wave source distribution without requiring phase information, allowing for direct extraction of radio wave source information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If phase obtaining function is added to the receiver to obtain phase of electric field signals, then phase information can be acquired, but device complexity, dimensions, weight, and cost increase
Solution Approach 1:
The invention extracts and utilizes only the necessary intensity information from the electric field signals, discarding the phase information that would require additional hardware to obtain. By formulating the deconvolution method to work with intensity data alone, the patent eliminates the need for phase obtaining functions and reference antennas, thereby reducing device complexity while maintaining the ability to determine radio wave source information
Solution Approach 2:
The patent employs a simpler receiver configuration that does not require expensive phase detection components. By using intensity information from conventional receivers and applying mathematical processing (deconvolution and Prony's method), the system achieves radio wave source identification without investing in complex phase obtaining hardware
2Loss of information
If reference antenna is installed to obtain phase of electric field signal, then phase can be acquired, but dimensions, weight, and cost increase
Solution Approach 1:
The invention extracts radio wave source information directly from intensity measurements without requiring phase information from reference antennas. By developing a deconvolution approach that operates on intensity data alone, the patent eliminates the need for additional reference antenna components, thereby reducing the overall weight of the apparatus
3Ease of operation
If conventional peak search method is used to determine radio wave source information, then simple processing is achieved, but radio wave source information cannot be directly extracted
Solution Approach 1:
The patent replaces the mechanical peak search method with a mathematical deconvolution approach using Prony's method. Instead of mechanically scanning and searching for peaks, the system uses signal processing techniques to directly extract radio wave source information from the received signals, achieving both direct information extraction and computational efficiency
Solution Approach 2:
The patent applies deconvolution processing to the received signals before performing source identification. By pre-processing the signals through deconvolution and applying Prony's method to extract exponential components, the system prepares the data in advance to enable direct radio wave source information extraction without requiring subsequent complex peak searching
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 direct and accurate extraction of radio wave source information without the need for phase information, simplifying the radar system and reducing complexity, weight, and cost, while maintaining high azimuth accuracy.
Implementation Method 1
a Fourier transform with respect to the azimuthal angle on the square root signal
Implementation Method 2
fits the divided signal with exponential functions including real parts and imaginary parts in arguments by using Prony's method
Data Source
AI summary
An observation apparatus includes a signal processing unit that performs, using a square root signal of a received electric power signal from an antenna whose beam is scanned within a predetermined azimuthal angle range and a signal of an azimuthal angle of the scanned beam, a Fourier transform with respect to the azimuthal angle on the square root signal, divides a first azimuth frequency signal by a second azimuth frequency signal, the first azimuth frequency signal being obtained by performing the Fourier transform, the second azimuth frequency signal being obtained by performing a Fourier transform with respect to the azimuthal angle on a square root signal of an antenna electric power pattern, and fits the divided signal with exponential functions including real parts and imaginary parts in arguments by using Prony's method.