Communication Device Low Pass Filter Coefficient Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
High-speed mobile communication systems face challenges in equalizing received signals effectively, leading to reliability issues and increased power consumption due to the lack of efficient methods for calculating Signal to Noise Ratio (SNR) and determining filter coefficients based on Doppler frequency.
Innovation Solution
A communication device and method that calculates the SNR using received signal strength, determines the coefficient of a low pass filter based on the estimated Doppler frequency, and controls channel and data signals to have a predetermined group delay for improved equalization, reducing power consumption and enhancing reception performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional equalization methods are used in high-speed mobile communication systems, then signal equalization can be performed, but reliability decreases and power consumption increases due to inefficient SNR calculation and filter coefficient determination
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the low pass filter coefficient based on calculated SNR values and estimated Doppler frequencies. Instead of using fixed parameters, the system adapts filter coefficients (e.g., alpha values) according to actual channel conditions, thereby improving equalization reliability while optimizing power consumption through condition-based processing
Solution Approach 2:
The patent implements feedback mechanisms by calculating SNR from received signal strength and using this feedback to determine appropriate filter coefficients. The system continuously monitors channel conditions, calculates SNR, and adjusts equalization parameters accordingly, creating a closed-loop control system that improves reliability while avoiding unnecessary processing when conditions are favorable
2Reliability
If efficient SNR calculation and filter coefficient determination are implemented, then equalization reliability increases and power consumption decreases, but system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing filter coefficient tables based on SNR and Doppler frequency combinations. Instead of performing complex real-time calculations, the system uses pre-computed lookup tables that simplify the equalization process, reducing both computational complexity and power consumption while maintaining high reliability
Solution Approach 2:
The patent introduces intermediary elements such as SNR calculation modules and Doppler frequency estimation components that bridge the received signal and the equalization process. These intermediaries process raw signals into meaningful parameters (SNR, Doppler frequency) that guide filter coefficient selection, organizing complexity into manageable functional blocks
3Measurement precision
If channel and data signals are controlled to have predetermined group delay, then reception performance improves, but processing complexity increases
Solution Approach 1:
The patent applies dynamics by making the group delay configurable and adaptive rather than fixed. The system adjusts group delay parameters dynamically based on channel conditions and signal characteristics, allowing optimization of reception performance for different scenarios while maintaining a relatively simple processing structure through parameterization
Data Source
AI summary
A communication device and method of controlling the same are provided. A communication device includes a transceiver that receives a radio signal and a processor electrically connected to the transceiver, and is configured to store a data signal including data received through the radio signal in a first buffer according to a first delay period, store a channel signal including channel estimation information on a transmission channel of the radio signal in a second buffer according to a second delay period, determines a coefficient of a low pass filter and a group delay related to the low pass filter based on information related to the radio signal, and output at least one of the channel signals stored in the second buffer based on the determined group delay and the first delay period to perform equalizing.


