UWB Receiver Correlation and CIR Estimation for Noise Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing ultra-wideband (UWB) communication systems face challenges in reducing channel-induced noise while maintaining performance, as known implementations require significant power and circuitry, particularly in compact devices like RFID tags.
Innovation Solution
A trit-based analog-to-digital converter (ADC) and digital channel matched filter (CMF) system that periodically samples received packets at an over-sample rate, using ternary samples to develop a multi-value result vector based on a channel impulse response (CIR) estimate, thereby filtering noise effectively with reduced power consumption and circuit complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional noise filtering techniques are used in UWB receivers, then channel-induced noise is reduced, but power consumption and circuit complexity increase significantly
Solution Approach 1:
The patent changes the sampling rate parameter by using an over-sampling rate that is a multiple of the symbol rate. This parameter change enables effective noise filtering through digital signal processing while avoiding the need for complex analog filtering circuits, thereby reducing power consumption and circuit complexity while maintaining noise reduction performance
Solution Approach 2:
The patent replaces complex analog noise filtering mechanisms with digital signal processing techniques. By using digital over-sampling and processing, the system achieves noise filtering without requiring complex analog circuits, thus reducing both power consumption and circuit complexity
2Object-affected harmful factors
If conventional noise filtering techniques are used in UWB receivers, then channel-induced noise is reduced, but circuit complexity increases
Solution Approach 1:
The patent changes the sampling rate parameter to an over-sampling rate, which simplifies the filtering approach by enabling effective noise reduction through digital processing. This parameter change avoids the need for complex analog filtering circuits, thereby reducing circuit complexity while maintaining noise reduction effectiveness
Solution Approach 2:
The patent substitutes complex analog filtering circuits with digital signal processing techniques. By using digital over-sampling and processing, the system achieves noise filtering with simpler circuitry, reducing overall device complexity
3Measurement precision
If over-sampling is used in the ADC, then noise filtering performance improves, but power consumption increases
Solution Approach 1:
The patent replaces power-intensive analog filtering hardware with digital signal processing techniques. By using digital processing of over-sampled data, the system achieves effective noise filtering while consuming less power than conventional analog filtering approaches
Data Source
AI summary
In an ultra-wideband (“UWB”) receiver, a received UWB signal is periodically digitized as a series of ternary samples. The samples are continuously correlated with a predetermined preamble sequence to develop a correlation value. When the value exceeds a predetermined threshold, indicating that the preamble sequence is being received, estimates of the channel impulse response (“CIR”) are developed. When a start-of-frame delimiter (“SFD”) is detected, the best CIR estimate is provided to a channel matched filter (“CMF”) substantially to filter channel-injected noise.