Spatial Filtering Antenna Array Using Digital Beamforming
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Solution Overview
Problem
Current methods for three-dimensional multiple signal tracking and reconstruction, particularly in applications like search and rescue, surveillance, and seismic monitoring, face challenges in accurately determining the direction and characteristics of quasi-continuous signals without rotating antennas, and struggle with interference from multiple sources.
Innovation Solution
The system employs signal vector processing to create mathematical models of physical wave fields, using antenna arrays and digital signal processing to steer and modify antenna beams, allowing for the determination of signal directions and power spectra without physical rotation, and incorporates adaptive noise reduction to minimize interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If analog beamforming and antenna steering methods are used to determine signal direction, then direction finding capability is achieved, but the system requires physical antenna rotation or complex mechanical steering mechanisms
Solution Approach 1:
The patent replaces mechanical antenna rotation systems with electronic signal processing methods. Digital signal processors compute signal directions by analyzing phase and amplitude relationships across multiple antenna elements, eliminating the need for physical rotation mechanisms while maintaining direction finding accuracy
Solution Approach 2:
The patent creates virtual beam patterns through digital signal processing that replicate the directional sensitivity of physically steered antennas. By computing correlation functions and applying beamforming algorithms to signals from fixed antenna elements, the system generates electronic beams without mechanical movement
2Device complexity
If fixed antenna arrays with digital signal processing are used to eliminate mechanical rotation, then device complexity is reduced, but the ability to track multiple moving sources in three dimensions is limited
Solution Approach 1:
The patent extends traditional two-dimensional beamforming to three-dimensional space by incorporating elevation angle calculations. The system processes signals from antenna elements arranged in three-dimensional space and computes azimuth and elevation angles simultaneously, enabling full 3D tracking of multiple sources without adding mechanical complexity
Solution Approach 2:
The patent implements dynamic beam steering through digital signal processing that continuously adapts beam directions to track moving sources. The system calculates time-varying phase shifts and amplitude weights for each antenna element to maintain focused beams on moving targets, achieving dynamic tracking capability without mechanical movement
3Productivity
If traditional beamforming methods are used to handle multiple signals, then signal processing capability is provided, but interference from multiple sources cannot be effectively separated
Solution Approach 1:
The patent segments the composite signal field into individual source contributions by computing spatial spectra and identifying distinct direction-of-arrival components. The system separates overlapping signals from multiple sources by resolving their different spatial signatures, allowing independent processing of each source while maintaining overall processing capacity
Solution Approach 2:
The patent employs adaptive beamforming with feedback mechanisms that continuously adjust beam weights based on detected interference patterns. The system monitors signal quality and dynamically modifies beamforming coefficients to nullify interfering sources, improving signal separation while maintaining processing throughput
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
This approach enables accurate three-dimensional tracking and reconstruction of signals with reduced interference, enhancing the ability to detect and locate sources in complex environments, such as urban areas or during severe weather events.
Implementation Method 1
an antenna array, each having a known location and capable of receiving electromagnetic or acoustic waves
Implementation Method 2
Artificial channel time delays using digital processing can be used to numerically steer 'antenna beams'
Implementation Method 3
can also incorporate antenna beam modifications for adaptive processing and removal of undesired sources
Data Source
AI summary
Methods and systems for spatial filtering transmitters and receivers capable of simultaneous communication with one or more receivers and transmitters, respectively, the receivers capable of outputting source directions to humans or devices. The methods and systems use spherical wave field partial wave expansion (PWE) models for transmitted and received fields at antennas and for waves generated by contributing sources. The source PWE models have expansion coefficients expressed as functions of directional coordinates of the sources. For spatial filtering receivers a processor uses the output signals from at least one sensor outputting signals consistent with Nyquist criteria representative of the wave field and the source PWE model to determines directional coordinates of sources (wherein the number of floating point operations are reduced) and outputs the directional coordinates and communications to a reporter configured for reporting information to humans. For spatial filtering transmitters a processor uses known receiver directions and source partial wave expansions to generate signals for transducers producing a composite total wave field conveying communications to the specified receivers. The methods and communications reduce the processing required for transmitting and receiving spatially filtered communications.