A novel delay dictionary design for compressive sensing-based time varying channel estimation in OFDM systems
| Autor: | Bayan M. Sabbar, Maryam K. Abboud |
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| Rok vydání: | 2020 |
| Předmět: |
Computer science
Orthogonal frequency-division multiplexing Bandwidth (signal processing) Channel estimation LTV channel Data_CODINGANDINFORMATIONTHEORY Compressive sensing Compressed sensing Channel impulse response Bit error rate Electronic engineering Electrical and Electronic Engineering Time complexity 5G OFDM Computer Science::Information Theory Communication channel |
| Zdroj: | TELKOMNIKA (Telecommunication Computing Electronics and Control). 18:2284 |
| ISSN: | 2302-9293 1693-6930 |
| DOI: | 10.12928/telkomnika.v18i5.14223 |
| Popis: | Compressive sensing (CS) is a new attractive technique adopted for linear time varying channel estimation. orthogonal frequency division multiplexing (OFDM) was proposed to be used in 4G and 5G which supports high data rate requirements. Different pilot aided channel estimation techniques were proposed to better track the channel conditions, which consumes bandwidth, thus, considerable data rate reduced. In order to estimate the channel with minimum number of pilots, compressive sensing CS was proposed to efficiently estimate the channel variations. In this paper, a novel delay dictionary-based CS was designed and simulated to estimate the linear time varying (LTV) channel. The proposed dictionary shows the suitability of estimating the channel impulse response (CIR) with low to moderate Doppler frequency shifts with acceptable bit error rate (BER) performance. |
| Databáze: | OpenAIRE |
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