Delay Tap Selection via Recurrence Rate Analysis
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Solution Overview
Problem
Existing wireless communication technologies face difficulties in accurately identifying and selecting important delay taps from channel impulse responses, which is crucial for adaptive transmission technologies.
Innovation Solution
A method and system that involve obtaining the amplitude of each delay tap sampling point, determining the optimal delay and embedding dimension, reconstructing the phase space, calculating a selection threshold, and using a recurrence plot to identify important delay taps based on their recurrence rates, thereby distinguishing them from noise taps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to identify delay taps, then the process is simple, but the accuracy of identifying important delay taps is low
Solution Approach 1:
The patent segments the channel impulse response into individual delay tap sampling points and processes each point separately through phase space reconstruction. By dividing the complex identification task into smaller sub-tasks for each delay tap, the method achieves higher accuracy in identifying important taps while managing the overall complexity through systematic processing of individual components.
Solution Approach 2:
The patent transforms the one-dimensional delay tap amplitude data into a multi-dimensional phase space using embedding dimension and delay parameters. This dimensional transformation allows the recurrence plot method to capture complex temporal patterns and relationships that are not visible in the original single-dimensional representation, thereby significantly improving identification accuracy.
2Reliability
If all delay taps are processed equally, then the process is simple, but the ability to distinguish important taps from noise is poor
Solution Approach 1:
The patent applies local quality by computing recurrence rates individually for each delay tap sampling point rather than treating all taps uniformly. Each delay tap undergoes separate phase space reconstruction and recurrence plot analysis, allowing the method to identify and distinguish important taps with specific local characteristics from noise taps based on their unique recurrence patterns.
Solution Approach 2:
The patent replaces traditional signal processing methods with the recurrence plot technique from nonlinear dynamics. This substitution introduces a new analytical framework that uses phase space reconstruction and recurrence rate calculation to detect and measure tap importance, overcoming the limitations of conventional approaches in distinguishing signal from noise.
Data Source
AI summary
A method and a system for selecting important delay taps of channel impulse response are provided, which belong to the field of adaptive transmission technology of wireless communication. The method performs local predictability estimation on all delay taps in the channel impulse response in wireless communication, thereby selecting the important delay taps in the channel impulse response. The disclosure uses recurrence rates of the delay taps to estimate local predictability of the delay taps. Noise delay taps are distinguished from the important delay taps through the local predictability of the delay taps, which improves the identification rate of the important delay taps of the channel impulse response in wireless communication. The disclosure may implement the selection of the important delay taps of the channel impulse response, which provides guarantee for implementing adaptive transmission and adaptive coding of wireless communication.