LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Design A New Time-Diversity System Using Orthogonal Mapping Matrix and Symbols Interleaving for Rayleigh Flat-Fading Channels

Photo by jontyson from unsplash

A time-diversity system is implemented in this work using a time-diversity encoder. The diversity encoder uses an orthogonal matrix to map vectors of N modulated symbols to vectors of N… Click to show full abstract

A time-diversity system is implemented in this work using a time-diversity encoder. The diversity encoder uses an orthogonal matrix to map vectors of N modulated symbols to vectors of N diversity symbols. Each modulated symbol is implicitly transmitted N times in N successive periods when the N diversity symbols are transmitted. No changes in the symbols’ transmission rate occur due to the proposed time-diversity scheme. The diversity symbols are transmitted with the same transmission rate of modulated symbols in the systems with no signal diversity. The proposed system uses the same bandwidth of the system with no signal diversity too. In the receiver, the outputs of the matched filter are stored in a buffer of length N during the diversity period. After filling the buffer, its contents are multiplied with the inverse of the fading matrix. A diversity detector remaps the diversity symbols to the modulated symbols. It also combines the corresponding modulated symbols in one decision variable. The noise samples in the decision variables are uncorrelated. A maximum-likelihood (ML) detector and a linear detector are used as diversity detectors in this work. The performance of the proposed system achieves the same performance as the N diversity channels system with a unity-gain-combiner (UGC) receiver.

Keywords: time diversity; system; matrix; diversity; diversity system

Journal Title: IEEE Access
Year Published: 2022

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.