Dynamic Equalization Window for Wireless Signal Dispersion
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Solution Overview
Problem
Current signal equalization methods for wireless channels are limited by simplistic measures for adapting the equalization window, leading to inadequate compensation, increased processing cycles, power consumption, and noise introduction when the window is too wide or narrow, respectively.
Innovation Solution
A channel searcher determines the energy-weighted ray-distance variance to adapt the equalization window dynamically, using a measure of variance weighted by ray energy, allowing for improved adaptation based on channel dispersion, and employing a probabilistic model to optimize the window width.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the equalization window is made wider to improve signal compensation, then the equalization performance is improved, but the processing complexity and power consumption increase
Solution Approach 1:
The equalization window length is made dynamically adjustable rather than fixed. The system adapts the window length based on channel conditions, using a longer window when channel dispersion is high and a shorter window when dispersion is low, thereby optimizing the balance between compensation quality and processing complexity
Solution Approach 2:
The system changes the parameter of equalization window length based on measured channel dispersion characteristics. By adjusting this parameter according to actual channel conditions, the system achieves optimal performance without consistently using the maximum window length that would increase complexity
2Reliability
If the equalization window is made wider to improve signal compensation, then the equalization performance is improved, but the power consumption increases
Solution Approach 1:
The equalization window length is dynamically adapted based on channel dispersion measurements. The system uses a longer window only when necessary (high dispersion conditions) and a shorter window when conditions permit, thereby reducing average power consumption while maintaining adequate compensation quality
Solution Approach 2:
The system adjusts the equalization window length parameter according to measured channel characteristics. This parameter adaptation allows the system to consume less power by using shorter windows when channel conditions do not require extensive equalization
3Productivity
If the equalization window is made narrower to reduce processing complexity, then the processing speed is improved, but the equalization accuracy deteriorates
Solution Approach 1:
The equalization window length is dynamically adjusted based on real-time channel dispersion measurements. The system uses a shorter window for fast processing when channel conditions are favorable and extends the window when accuracy requirements demand it, achieving an adaptive balance between speed and precision
4Device complexity
If a fixed equalization window is used to simplify the system, then the device complexity is reduced, but the adaptability to varying channel conditions deteriorates
Solution Approach 1:
The system implements dynamic adaptation of the equalization window length based on measured channel dispersion. This allows the system to automatically adjust to varying channel conditions without requiring complex manual configuration or multiple fixed-window systems
Solution Approach 2:
The equalization system performs self-adjustment by measuring channel dispersion and automatically selecting an appropriate window length. This self-service capability provides adaptability without requiring external control or complex configuration mechanisms
Data Source
AI summary
An apparatus, method and program for processing a signal received over a wireless channel. The apparatus comprises: a channel searcher configured to determine a profile of the channel in the form of energy values for a plurality of rays at respective channel positions, and an equalizer for equalizing the signal based on a variable window of the equalizer. The channel searcher is configured to estimate dispersion of the channel by determining a measure of variance of ray distance from a reference position within the channel profile weighted by ray energy. The equalizer is coupled to the channel searcher and arranged to adapt the window in dependence on the measure of energy-weighted ray distance variance.