2 research outputs found
ΠΠΎΠ³Π΅ΡΠ΅Π½ΡΠ½ΡΠΉ ΠΏΡΠΈΠ΅ΠΌ Π½Π΅ΠΎΡΡΠΎΠ³ΠΎΠ½Π°Π»ΡΠ½ΡΡ ΡΠΏΠ΅ΠΊΡΡΠ°Π»ΡΠ½ΠΎ-ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡ ΠΌΠ½ΠΎΠ³ΠΎΡΠ°ΡΡΠΎΡΠ½ΡΡ ΡΠΈΠ³Π½Π°Π»ΠΎΠ² ΠΏΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΈ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° Ρ ΠΎΠ±ΡΠ°ΡΠ½ΠΎΠΉ ΡΠ²ΡΠ·ΡΡ ΠΏΠΎ ΡΠ΅ΡΠ΅Π½ΠΈΡ
Introduction. Spectrally efficient frequency division multiplexing (SEFDM) is a promising technology for improving spectral efficiency. Since SEFDM signals transmitted on subcarriers are not orthogonal, interchannel interference occurs due to the mutual influence of signals transmitted on adjacent subcarriers. Algorithms for receiving SEFDM signals can be distinguished into element-by-element coherent detection and maximum-likelihood sequence estimation (MLSE). The former method, although being simpler, is characterized by a low bit error rate performance. The latter method, although providing for a higher energy efficiency, is more complicated and does not allow high absolute message rates.Aim. To consider a trade-off solution to the problem of coherent detection of SEFDM signals under the condition of significant interchannel interference, namely, the use of an iterative algorithm of element-by-element processing with decision feedback at each subcarrier frequency.Materials and methods. Analytical expressions for the operation of a demodulator solver were derived. A simulation model for transmission of SEFDM signals was built in the MatLab environment, including element-by-element detection with decision feedback.Results. The simulation results confirmed the efficiency of the proposed algorithm. For error probabilities p =102β¦103, the energy gains reach values from 0.2 to 7.5 dB for different values of the non-orthogonal subcarrier spacing. At the same time, the efficiency of the detection algorithm with decision feedback turns out to be significantly lower than that when using the detection algorithm MLSE.Conclusion. The proposed detection algorithm can be used in future generations of mobile communications, which require high transmission rates. By reducing the computational complexity of the algorithm, it is possible to provide for a lower power consumption of mobile devices.ΠΠ²Π΅Π΄Π΅Π½ΠΈΠ΅. Π Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ ΡΠΏΠ΅ΠΊΡΡΠ°Π»ΡΠ½ΠΎ-ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ΅ ΡΠ°ΡΡΠΎΡΠ½ΠΎΠ΅ ΠΌΡΠ»ΡΡΠΈΠΏΠ»Π΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ (Spectrally efficient frequency division multiplexing β SEFDM) ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΌΠ½ΠΎΠ³ΠΎΠΎΠ±Π΅ΡΠ°ΡΡΠ΅ΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠ΅ΠΉ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΠΎΠΉ Π΄Π»Ρ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΡΠΏΠ΅ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΈ ΡΠΊΠΎΡΠΎΡΡΠΈ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ. ΠΠ»Π³ΠΎΡΠΈΡΠΌΡ ΠΏΡΠΈΠ΅ΠΌΠ° SEFDMΡΠΈΠ³Π½Π°Π»ΠΎΠ² ΠΌΠΎΠΆΠ½ΠΎ ΡΠ°Π·Π΄Π΅Π»ΠΈΡΡ Π½Π° 2 ΠΊΠ»Π°ΡΡΠ°: ΠΏΠΎΡΠ»Π΅ΠΌΠ΅Π½ΡΠ½ΡΠΉ ΠΊΠΎΠ³Π΅ΡΠ΅Π½ΡΠ½ΡΠΉ ΠΏΡΠΈΠ΅ΠΌ ΠΈ ΠΏΡΠΈΠ΅ΠΌ Π²ΡΠ΅ΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΏΠΎΡΡΠ»ΠΊΠΈ. ΠΠ΅ΡΠ²ΡΠΉ ΠΌΠ΅ΡΠΎΠ΄ Π±ΠΎΠ»Π΅Π΅ ΠΏΡΠΎΡΡ, Π½ΠΎ ΠΎΠ±Π»Π°Π΄Π°Π΅Ρ Π½ΠΈΠ·ΠΊΠΎΠΉ ΠΏΠΎΠΌΠ΅Ρ
ΠΎΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΡΡ. ΠΡΠΈ ΠΏΡΠΈΠ΅ΠΌΠ΅ Π²ΡΠ΅ΠΉ ΠΏΠΎΡΡΠ»ΠΊΠΈ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΠ΅ Π²ΡΡΠΎΠΊΠΎΠΉ ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ, Π½ΠΎ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΡ ΡΠ°ΠΊΠΎΠ³ΠΎ ΠΏΡΠΈΠ΅ΠΌΠ° ΠΎΡΠ΅Π½Ρ ΡΠ»ΠΎΠΆΠ½Π° ΠΈ Π½Π΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°ΡΡ Π²ΡΡΠΎΠΊΠΈΠ΅ Π°Π±ΡΠΎΠ»ΡΡΠ½ΡΠ΅ ΡΠΊΠΎΡΠΎΡΡΠΈ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ ΡΠΎΠΎΠ±ΡΠ΅Π½ΠΈΠΉ.Π¦Π΅Π»Ρ ΡΠ°Π±ΠΎΡΡ. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½ΠΈΠ΅ ΠΊΠΎΠΌΠΏΡΠΎΠΌΠΈΡΡΠ½ΠΎΠ³ΠΎ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π·Π°Π΄Π°ΡΠΈ ΠΊΠΎΠ³Π΅ΡΠ΅Π½ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΈΠ΅ΠΌΠ° SEFDM-ΡΠΈΠ³Π½Π°Π»ΠΎΠ² Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΌΠ΅ΠΆΠΊΠ°Π½Π°Π»ΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΡΡΠ΅ΡΠ΅Π½ΡΠΈΠΈ, Π° ΠΈΠΌΠ΅Π½Π½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π½Π° ΠΊΠ°ΠΆΠ΄ΠΎΠΉ ΠΏΠΎΠ΄Π½Π΅ΡΡΡΠ΅ΠΉ ΡΠ°ΡΡΠΎΡΠ΅ ΠΈΡΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° ΠΏΠΎΡΠ»Π΅ΠΌΠ΅Π½ΡΠ½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ Ρ ΠΎΠ±ΡΠ°ΡΠ½ΠΎΠΉ ΡΠ²ΡΠ·ΡΡ ΠΏΠΎ ΡΠ΅ΡΠ΅Π½ΠΈΡ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΡΠ°Π±ΠΎΡΡ Π΄Π΅ΠΌΠΎΠ΄ΡΠ»ΡΡΠΎΡΠ° ΡΠ΅ΡΠ°ΡΡΠ΅Π³ΠΎ ΡΡΡΡΠΎΠΉΡΡΠ²Π° Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΎ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ. ΠΠΌΠΈΡΠ°ΡΠΈΠΎΠ½Π½Π°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ SEFDM-ΡΠΈΠ³Π½Π°Π»ΠΎΠ² Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π² ΠΏΡΠΈΠ΅ΠΌΠ½ΠΈΠΊΠ΅ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° ΠΏΠΎΡΠ»Π΅ΠΌΠ΅Π½ΡΠ½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ Ρ ΠΎΠ±ΡΠ°ΡΠ½ΠΎΠΉ ΡΠ²ΡΠ·ΡΡ ΠΏΠΎ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΏΠΎΡΡΡΠΎΠ΅Π½Π° Π² ΡΡΠ΅Π΄Π΅ MatLab.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, ΡΡΠΎ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΡΠΉ Π°Π»Π³ΠΎΡΠΈΡΠΌ ΡΠ²Π»ΡΠ΅ΡΡΡ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΌ. ΠΡΠΈ Π΄ΠΎΠΏΡΡΡΠΈΠΌΠΎΠΉ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ ΠΎΡΠΈΠ±ΠΎΠΊ p =102β¦103 ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π²ΡΠΈΠ³ΡΡΡ Π΄ΠΎΡΡΠΈΠ³Π°Π΅Ρ Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ 0.2β¦7.5 Π΄Π Π΄Π»Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠ³ΠΎ Π½Π΅ΠΎΡΡΠΎΠ³ΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π·Π½ΠΎΡΠ° ΠΏΠΎΠ΄Π½Π΅ΡΡΡΠΈΡ
ΡΠ°ΡΡΠΎΡ. Π ΡΠΎ ΠΆΠ΅ Π²ΡΠ΅ΠΌΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ Ρ ΠΎΠ±ΡΠ°ΡΠ½ΠΎΠΉ ΡΠ²ΡΠ·ΡΡ ΠΏΠΎ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅ΡΡΡ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ Π½ΠΈΠΆΠ΅, ΡΠ΅ΠΌ ΠΏΡΠΈ ΠΏΡΠΈΠ΅ΠΌΠ΅ Π²ΡΠ΅ΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΏΠΎΡΡΠ»ΠΊΠΈ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΡΠΉ Π°Π»Π³ΠΎΡΠΈΡΠΌ ΠΏΡΠΈΠ΅ΠΌΠ° ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ Π² Π±ΡΠ΄ΡΡΠΈΡ
ΠΏΠΎΠΊΠΎΠ»Π΅Π½ΠΈΡΡ
ΠΌΠΎΠ±ΠΈΠ»ΡΠ½ΠΎΠΉ ΡΠ²ΡΠ·ΠΈ, Π² ΠΊΠΎΡΠΎΡΡΡ
ΡΡΠ΅Π±ΡΡΡΡΡ Π²ΡΡΠΎΠΊΠΈΠ΅ ΡΠΊΠΎΡΠΎΡΡΠΈ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ. ΠΠ»Π°Π³ΠΎΠ΄Π°ΡΡ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΠ»ΠΎΠΆΠ½ΠΎΡΡΠΈ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΡΡ ΠΌΠ΅Π½ΡΡΠ΅Π΅ ΡΠ½Π΅ΡΠ³ΠΎΠΏΠΎΡΡΠ΅Π±Π»Π΅Π½ΠΈΠ΅ ΠΌΠΎΠ±ΠΈΠ»ΡΠ½ΡΡ
ΡΡΡΡΠΎΠΉΡΡΠ²