RSSI Peak Picking for Location Systems
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Solution Overview
Problem
Conventional location systems based on received signal strength indication (RSSI) face challenges in accurately determining distance due to multiple path fading, which affects signal strength measurements in indoor environments.
Innovation Solution
The system calculates signal strength by determining the highest peak value of the signal within a defined sampling window, reducing the impact of multiple paths and allowing for accurate location determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If RSSI-based location systems are used, then implementation is simplified, but measurement precision deteriorates due to multiple path fading
Solution Approach 1:
The system performs preliminary signal processing by collecting multiple RSSI samples over time before calculating the final distance. This preliminary sampling action allows the system to anticipate and compensate for the effects of multiple path fading, resolving the contradiction between simple implementation and accurate measurement.
Solution Approach 2:
The system uses feedback mechanisms by continuously monitoring signal strength variations and adjusting the distance calculation accordingly. The feedback loop compares multiple measurements and selects the most accurate value, thereby improving measurement precision while maintaining the simplicity of RSSI-based implementation.
2Reliability
If multiple path signals are considered, then signal coverage is improved, but measurement precision deteriorates due to constructive and destructive interference
Solution Approach 1:
The system extracts only the most reliable signal component by identifying and selecting the maximum RSSI value from multiple measurements. This extraction process filters out the harmful effects of multiple path interference, keeping only the signal component that provides accurate distance measurement while maintaining overall signal reception reliability.
Solution Approach 2:
The system changes the parameter selection approach by transitioning from using a single RSSI value to selecting the maximum value from multiple time samples. This parameter change allows the system to distinguish between signal components affected by constructive and destructive interference, thereby improving measurement precision while maintaining signal coverage.
Data Source
AI summary
Systems, methods and computer program products for accurately determining the location of people or objects are disclosed. The location of people or objects is calculated based on a received signal strength indication (RSSI). The distance between a transmitter and a receiver is calculated in a manner that can reduce or eliminate the effect of multiple paths of a signal between the transmitter and the receiver. Therefore, the location system provides a mechanism for determining the RSSI value accurately regardless of the multiple paths between a transmitter and receiver.