Multi-Modal Target Localization Using RSSI and UWB Sensors
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Solution Overview
Problem
Existing localization techniques using ultra-wide band sensors may not be optimal in certain situations, particularly for targets in proximity to platforms such as vehicles, due to limitations in detection range and accuracy.
Innovation Solution
A method and system that utilizes a combination of radio signal strength indication (RSSI) sensors and ultra-wide band (UWB) sensors to enhance localization by leveraging the strengths of both modalities, with RSSI sensors for longer range and UWB sensors for greater accuracy, and employs a processor to integrate data for precise target localization based on distance from the platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If ultra-wide band sensors are used for localization, then measurement precision is improved, but detection range is reduced
Solution Approach 1:
The patent combines RSSI sensors and UWB sensors into a unified localization system. RSSI sensors provide long-range detection capability while UWB sensors provide high-precision localization. The system merges data from both sensor types to achieve both extended range and improved accuracy, resolving the contradiction between detection range and measurement precision.
2Length of stationary object
If RSSI sensors are used for localization, then detection range is extended, but measurement precision deteriorates
Solution Approach 1:
The UWB sensors act as an intermediary to enhance the localization capability of RSSI sensors. While RSSI sensors detect targets at long ranges with lower precision, the system uses UWB sensors to provide high-precision measurements when targets are within their effective range, thereby mediating between the two extremes of range and precision.
Solution Approach 2:
The system dynamically switches between relying on RSSI data for long-range detection and UWB data for short-range precision based on the detected distance to the target. This dynamic adaptation allows the system to optimize performance according to the operational context, resolving the static trade-off between range and precision.
3Measurement precision
If multiple sensor types are combined, then localization accuracy is improved, but device complexity increases
Solution Approach 1:
The system achieves multi-functionality by having a unified localization processor that handles both RSSI and UWB sensor data. This single processing unit performs multiple functions: long-range detection using RSSI, high-precision localization using UWB, and seamless transition between modes, thereby reducing overall system complexity despite using multiple sensor types.
Data Source
AI summary
Methods and systems are provided that include first sensors, second sensors, and a processor of a platform. The first sensors have a first modality, and are configured to obtain first sensor data as to a target with respect to the platform. The second sensors have a second modality that is different from the first modality, are configured to obtain second sensor data as to the target with respect to the platform, and for detecting the target at a relatively greater accuracy from short distances as compared with the first sensors of the first modality. The processor is configured for localizing the target using the first sensor data and the second sensor data, in which the second sensor data is utilized to enhance the first sensor data based on an effectiveness of the first sensor data, and that is based on a distance of the target from the platform.