Correlation Interferometer Direction Finding for Single-Snapshot DOA Detection
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Solution Overview
Problem
Conventional direction finding systems are limited to detecting a single emitter in a single snapshot, necessitating multiple snapshots to locate multiple emitters, which can be disadvantageous in environments requiring rapid detection.
Innovation Solution
A method and system utilizing a computer program product with a correlation interferometer direction finding (CIDF) process to down-sample and up-sample calibration data, enabling the detection of multiple emitters within a beamwidth in a single snapshot through compressive sensing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional direction finding systems process multiple emitters sequentially in separate snapshots, then each emitter can be detected with adequate computational resources, but the detection time increases and productivity decreases
Solution Approach 1:
The patent combines multiple emitter detection into a single snapshot by merging their signal processing paths. The system processes signals from multiple emitters simultaneously through unified calibration data and compressive sensing algorithms, eliminating the need for sequential processing across multiple snapshots while maintaining detection accuracy.
Solution Approach 2:
The patent transitions from temporal dimension (multiple snapshots) to spatial dimension (single snapshot with multiple beams) by using a beamforming matrix that processes multiple emitter signals concurrently within one snapshot, achieving parallel detection without sacrificing measurement precision.
2Measurement precision
If direction finding systems increase sampling size for accurate emitter detection, then measurement precision improves, but computational complexity increases
Solution Approach 1:
The patent extracts and utilizes only the essential calibration data needed for compressive sensing reconstruction, separating critical calibration information from redundant data. This extraction approach maintains measurement precision by preserving necessary calibration characteristics while reducing overall computational burden through selective data processing.
Solution Approach 2:
The patent changes the sampling parameter from high-resolution full sampling to compressed sampling by applying a compressive sensing matrix. This parameter transformation allows accurate emitter detection with reduced sampling rates, directly lowering computational complexity while maintaining detection precision through mathematical reconstruction algorithms.
3Measurement precision
If conventional systems use full calibration data sets, then detection accuracy is maintained, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary calibration data processing by pre-computing and storing essential calibration parameters before actual emitter detection. This preliminary action prepares compressed calibration data in advance, allowing rapid processing during detection operations while maintaining accuracy, thus reducing real-time processing time without sacrificing measurement precision.
Data Source
AI summary
A system and method of detecting a plurality of emitters in a single snapshot. The system includes an antenna that is operable to emit a beamwidth to intercept output signals emitted by a plurality of emitters in a search area. The system also includes a processor that is operable with the antenna for receiving the output signals. The system also includes at least one non-transitory machine readable medium that is operable to be accessed by the processor. The system also includes a computer program product that has instructions stored on the at least one non-transitory machine readable medium, wherein when the computer program product is executed by the processor, a process is carried out by the processor for detecting the plurality of emitters inside of the beamwidth of the direction finding antenna in a single snapshot.