Name: Robust Time-Invariant Filtering for Wireless Relay Optimization (en Inglés)
SKU: 66404644
Price: 62.50 USD
Availability: InStock
Author: Nichal, Arjun

portada Robust Time-Invariant Filtering for Wireless Relay Optimization (en Inglés)

Robust Time-Invariant Filtering for Wireless Relay Optimization (en Inglés)

Formato

Libro Físico

Editorial

LAP Lambert Academic Publishing

Autor

Nichal, Arjun

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.3 cm

ISBN13

9786209373121

Robust Time-Invariant Filtering for Wireless Relay Optimization (en Inglés)

Nichal, Arjun (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Robust Time-Invariant Filtering for Wireless Relay Optimization (en Inglés)"

This book presents the design, implementation, and performance evaluation of an Adaptive Joint SCAMP Filter and Relay Weight Optimization Scheme for a wireless Amplify-and-Forward (AF) cooperative relay network operating over frequency-selective fading channels. Conventional AF systems suffer from compounded noise and Inter-Symbol Interference (ISI) due to cascaded multi-tap channel effects. To address these limitations, this work employs a Joint Adaptive Filtering approach that simultaneously optimizes the source pre-coding filter and the relay amplification weight to minimize the end-to-end Mean Squared Error (MSE) and enhance the achievable data rate.The joint optimization problem is solved using the Projected Subgradient Method (PSGM), which provides robustness against non-linear constraints such as sparsity while maintaining low computational complexity. The algorithm is implemented and tested in a MATLAB simulation environment under a time-varying Auto-Regressive (AR(1)) fading model. Key performance metrics such as MSE convergence, filter characteristics, achievable rate, and robustness to parameter variations are analyzed.