Differential Sensing for JCAS Positioning Under LOS Interference
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Solution Overview
Problem
Current joint communications and sensing (JCAS) systems face challenges such as high computing resource consumption, poor position estimates due to limited AoAs, strong line-of-sight paths, and resource depletion for communications, leading to incorrect actions based on inaccurate target positioning.
Innovation Solution
Implementing differential sensing through a sensing-aware beam-forming (SABF) and beam-nulling (SABN) signals to estimate AoA and AoD pairs, perform post-processing to enhance estimation accuracy, and determine target positions, while conserving computing and networking resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sensing methods are used in JCAS systems, then target detection can be performed, but computing resource consumption is high and position estimation accuracy is poor
Solution Approach 1:
The patent extracts the essential sensing information by computing the difference between autocorrelation matrices of SABF and SABN signals, which isolates the target-related components and eliminates redundant information, thereby reducing computing resource consumption while maintaining position estimation accuracy
Solution Approach 2:
The patent performs preliminary beam-forming and beam-nulling operations to pre-process the signals before target detection, extracting directional information in advance and reducing the computational burden during the actual target detection phase
2Measurement precision
If limited AoA estimation is performed, then computing resources are conserved, but position estimation accuracy deteriorates
Solution Approach 1:
The patent merges AoA and AoD estimation into a unified differential sensing framework, where the same autocorrelation matrix difference computation simultaneously provides both angle estimates, eliminating the need for separate complex AoA estimation processes while maintaining positioning accuracy
Solution Approach 2:
The patent makes the differential sensing computation universal by using the same autocorrelation matrix difference operation to achieve multiple objectives: target detection, AoA estimation, AoD estimation, and path loss calculation, thereby avoiding redundant computations
3Measurement precision
If strong line-of-sight paths are present, then signal strength is high, but sensing accuracy is reduced due to interference
Solution Approach 1:
The patent converts the harmful line-of-sight interference into a beneficial calibration reference by using the known characteristics of the direct path signal to compute calibration factors that compensate for multipath effects and improve target detection accuracy in the presence of strong LOS paths
Solution Approach 2:
The patent introduces calibration factors as intermediary parameters that mediate between the received signals and the final target detection, allowing the system to separate the desired target information from the interfering line-of-sight components through mathematical calibration
Data Source
AI summary
A device may estimate targets and angle-of-arrival (AoA) and angle-of-departure (AoD) pairs for the targets based on a sensing-aware beam-forming (SABF) signal and a sensing-aware beam-nulling (SABN) signal received from another device. The device may perform post-processing of the AoA and AoD pairs to modify estimation accuracies for the AoA and AoD pairs, and may estimate path loss values for paths of the targets. The device may determine positions of the targets based on the AoA and AoD pairs, and may perform one or more actions based on the positions of the targets. The device may receive communication pilots from the other device, and may determine transmitter calibration coefficients for the other device and receiver calibration coefficients for the device based on the communication pilots.