An improved backtracking search optimization algorithm for cubic metric reduction of OFDM signals
| Autor: | Abbas Ali Sharifi, Hojjat Emami |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
PTS
lcsh:T58.5-58.64 Computer Networks and Communications Computer science Backtracking Orthogonal frequency-division multiplexing lcsh:Information technology 020208 electrical & electronic engineering Brute-force search Improved backtracking search (IBS) 020206 networking & telecommunications 02 engineering and technology Measure (mathematics) Reduction (complexity) Amplitude Cubic metric (CM) Artificial Intelligence Hardware and Architecture Distortion Metric (mathematics) 0202 electrical engineering electronic engineering information engineering Algorithm Software Information Systems OFDM |
| Zdroj: | ICT Express, Vol 6, Iss 3, Pp 258-261 (2020) |
| ISSN: | 2405-9595 |
| Popis: | The large amplitude variations of OFDM signals generate in-band distortion and out-of-band radiation. In recent years, cubic metric (CM) has been verified as a more accurate metric to measure the amplitude variations. In this paper, the PTS technique is used to decrease the CM of OFDM signals. To overcome the search complexity of an exhaustive search based PTS technique, we introduce an improved backtracking search (IBS) optimization algorithm. Simulations are conducted to show the advantages of the proposed IBS based PTS approach compared with the conventional OFDM, and several state-of-the-art methods in terms of search complexity and CM reduction performance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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