Compressive Sampling Direction of Arrival Detection Circuit
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current mechanisms for determining the direction of arrival of a wireless signal are slow and require significant power, making them inefficient for real-time applications.
Innovation Solution
The use of compressive sampling techniques, including a direct space-to-information converter that combines delay-and-sum beam forming with compressive sampling, allows for faster and more energy-efficient detection of the direction of arrival by using pseudo-random number modulation and a hardware processor to perform a compressed sensing recovery algorithm.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional mechanisms are used to determine direction of arrival, then measurement precision can be achieved, but the process is slow and requires significant power
Solution Approach 1:
The patent applies preliminary action by pre-computing and storing compressed sensing measurement matrices and performing compressive sampling in the analog domain before digital processing. The system performs beamforming and compressive sampling operations in advance to reduce real-time computational requirements, enabling faster direction of arrival detection while maintaining precision through the pre-established measurement framework.
2Measurement precision
If conventional mechanisms are used to determine direction of arrival, then measurement precision can be achieved, but significant power is required
Solution Approach 1:
The patent replaces conventional mechanical/digital signal processing systems with an analog compressive sampling system. By performing beamforming and compressive sampling operations in the analog domain using analog signal processing circuits, the system reduces the computational burden on power-intensive digital processors, thereby achieving direction of arrival detection with lower power consumption while maintaining measurement precision.
3Measurement precision
If the number of antennas is increased to improve detection accuracy, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent merges multiple receiver paths and antenna elements into a unified compressive sampling system. By combining the signals from multiple antennas and integrating beamforming operations with compressive sampling in a single analog processing architecture, the system reduces the effective complexity despite having multiple antennas. The merging of functions allows the system to handle multiple signal sources efficiently without proportionally increasing device complexity.
Data Source
AI summary
Mechanisms compressive sampling to detect direction of arrival (DoA) of a signal of interest (SoI), comprising: in each of a plurality of receiver paths, receiving the SoI and producing a received signal using an antenna; and using a modulator to: receive a modulator input signal (MIS) based on the received signal produced by the antenna in the path; modulate the MIS at multiple points in time (MPIT) based on different ones of a plurality of pseudo-random numbers; and produce a plurality of modulated output signals in response to the modulating of the MIS at the MPIT; summing across the receiver paths the one of the modulated output signals produced by each of the receiver paths for each of the MPIT, to produce a plurality of sum signals each corresponding to one of the MPIT; and performing a compressed sensing recovery algorithm to recover the DoA of the SoI.