Direction Finding with Switched Sensor Subnetworks
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Solution Overview
Problem
Existing direction finding systems with fewer reception channels than sensors struggle to effectively estimate angles of arrival for signals in multi-transmitter and multi-path scenarios, as they fail to exploit the total network of sensors and require costly calculation time or a reference signal.
Innovation Solution
A method that alternately acquires signals from subnetworks of sensors over time, reconstructing covariance matrices and signal spaces to apply direction finding algorithms as if all sensors' signals were acquired simultaneously, using switching algorithms to reconstitute the signal space and covariance matrix of the complete network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a system with fewer reception channels than sensors is used for direction finding, then device complexity is reduced, but measurement precision deteriorates because the system cannot simultaneously acquire signals from all sensors
Solution Approach 1:
The patent divides the sensor network into multiple subnetworks, each containing a subset of sensors that can be simultaneously processed by the limited reception channels. This segmentation allows the system to process signals from different spatial groups sequentially, maintaining measurement precision while reducing the instantaneous channel requirement.
Solution Approach 2:
The patent implements periodic switching between different subnetwork configurations, where the reception channels are alternately assigned to different sensor subsets over time. This periodic action ensures that all sensors are utilized for direction finding while the system maintains a manageable number of active reception channels at any given moment.
2Measurement precision
If high-resolution direction finding algorithms are applied to handle multi-transmitter and multi-path cases, then measurement precision improves, but calculation time increases significantly
Solution Approach 1:
The patent segments the direction finding problem into multiple smaller subproblems by dividing the sensor network into subnetworks. Each subnetwork processes a specific subset of signals, allowing high-resolution algorithms to be applied to smaller data sets sequentially, thereby reducing overall calculation time while maintaining precision.
Solution Approach 2:
The patent performs preliminary processing of sensor signals by organizing them into subnetworks before applying high-resolution direction finding algorithms. This preliminary organization pre-processes the data structure, reducing the computational burden during the actual direction finding calculation and decreasing total processing time.
3Device complexity
If interferometry algorithms are used in two-channel systems, then device complexity is reduced, but adaptability deteriorates because they cannot process multi-transmitter and multi-path cases
Solution Approach 1:
The patent makes the reception system universal by designing it to handle multiple scenarios (single-transmitter, multi-transmitter, multi-path cases) through the subnetwork approach. The same two-channel or multi-channel system can process different signal configurations by reconfiguring which sensors belong to which subnetwork, providing adaptability without increasing hardware complexity.
Solution Approach 2:
The patent introduces dynamic reconfigurability to the reception system, where the assignment of sensors to subnetworks can be dynamically adjusted based on the signal environment. This dynamic adaptation allows the system to optimize its performance for different scenarios (single or multiple transmitters, presence of multipath) while maintaining a fixed, simple hardware architecture.
Data Source
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AI summary
A direction-finding method for a receiving system with fewer receiving channels (P channels) than sensors in the network (N sensors). The principle is to acquire, alternately over time, the signals received from several sub-networks composed of P sensors corresponding to P channels, in order to acquire, at least once over a period T, the signals received on each of the N sensors in a network. A sub-network of P sensors is selected using an antenna switch. From these different acquisitions, called "switching," the switching algorithms must reconstruct the algebraic elements necessary to apply direction-finding algorithms as if the signals from the N sensors in the network had been acquired simultaneously.