Suzuki Distribution Receiver for Multipath Fading and Shadowing
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Solution Overview
Problem
Existing data receiving systems face challenges in accurately characterizing and compensating for signal degradation caused by multipath fading and shadowing, which limits their capacity and efficiency in wireless communication systems.
Innovation Solution
A broadcast receiver apparatus is designed to utilize the Suzuki distribution's probability density function to derive decision metrics for signal impairment, allowing for adaptive optimization of signal reception parameters based on known or unknown phase, delay, and amplitude values, enabling improved performance over fading channels without the need for empirical channel modeling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional distributions (Rayleigh, Weibull, Nakagami) are used to describe multipath fading, then the description is adequate for multipath fading, but the description is not optimal and robust because shadowing effect is not considered
Solution Approach 1:
The patent merges the Rayleigh distribution (for multipath fading) and Lognormal distribution (for shadowing) into a composite Suzuki distribution. This combination allows the model to simultaneously describe both multipath fading and shadowing effects, resolving the contradiction between adequate multipath description and robustness to shadowing.
2Measurement precision
If Suzuki distribution is used to describe both multipath and shadowing, then the description capability is improved, but the probability density function cannot be implemented because the integral has no known explicit solution
Solution Approach 1:
The patent segments the complex Suzuki distribution integral into manageable parts by introducing a change of variable and expressing the solution as a series expansion. This segmentation transforms the intractable integral into a computationally feasible form that can be implemented in digital receivers.
Solution Approach 2:
The patent introduces an intermediate variable substitution (u = α²/2σ²) as a mediator to transform the original integral into a form that can be expressed using special functions (modified Bessel functions and incomplete gamma functions). This intermediary transformation makes the Suzuki distribution implementable.
3Reliability
If empirical data is collected for each geographical area, then the receiver can be optimized for that location, but the process is time-consuming and requires new data for every new location
Solution Approach 1:
The patent enables the receiver to self-adapt to different locations by using the Suzuki distribution model with parameters that can be estimated from received signals. Instead of requiring external empirical data collection, the system serves itself by automatically characterizing the channel based on the statistical model, eliminating the time-consuming data collection process.
4Measurement precision
If the receiver is moved to a new location, then new empirical data must be obtained, but this reduces the adaptability and portability of the receiver
Solution Approach 1:
The patent creates a universal Suzuki distribution model that can be applied to any geographical location without requiring location-specific empirical data. The model serves multiple functions: it characterizes multipath fading, accounts for shadowing, and adapts to different locations through parameter estimation, making the receiver universally applicable across diverse environments.
Data Source
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AI summary
The invention relates to apparatus for the receipt of digital data which is transmitted as a data signal from a remote location and a method by which the receiving apparatus can be designed with a configuration to improve the ability to receive the data signal. The design of the configuration is generated with reference to at least one decision metric which is adapted to suit the known characteristics of the data signal which is being received.