FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2550262075> ?p ?o ?g. }

• W2550262075 abstract "Estimation of signal to noise ratio for the received signal is an important task in communication systems. T performance of existing non-data-aided level modulation scheme such as M-a modulation (QAM). In this paper, a novel approach for such estimation that uses zero point received signal per block and auto cross division multiplexing (OFDM) system. The performance of the method is verified qualitatively and they show a stable performance whe n compared with earlier methods when applied under higher modulation schemes. Estimation of signal to noise ratio for the received signal is an important task in communication systems. T aided (NDA) SNR estimation methods are substantially degraded ary amplitude and phase shift keying (APSK) or quadratu ). In this paper, a novel approach for such estimation that uses zero point auto received signal per block and auto cross -correlation of decision feedback signal in orthogonal frequency division multiplexing (OFDM) system. The performance of the method is verified qualitatively and they show a n compared with earlier methods when applied under higher modulation schemes. noise ratio (SNR) is a requirement in many communication systems in order to perform efficient signal detection and/or link adaptation. A number of non-data-aided (NDA) SNR estimators, have been proposed for constant modulus (CM) constellations. Most of them, however, cannot be applied to CM constellations. Decision directed (DD) can be used by substituting the true transmitted symbol outputs of the decoder. Maximum likelihood estimator is one of DA estimator, and squared signal variance (SNV), Although ML estimators provide good statistical performance, and they tend to be computationally intensive. Under a different classification, I/Q-based estimators make use of both the in and quadrature components of the received signal, and thus require coherent detection; in contrast, envelope based (EVB) estimators only make use of the received signal magnitude, and thus can be applied even if the carrier phase has not been completely acquired. The more signal has high modulation level, therefore, the more SNR estimation is difficult when we compare simple modulation signal such as binary phase shift keying ary amplitude and phase shift keying quadrature amplitude modulation (QAM) modulation signal. Even if SNR estimation algorithm could apply efficiently to BPSK signal, there is much difficulty just as it is about high dimensional signal. There for a new est imator is required, for this a novel method is proposed in Estimation of signal to noise ratio for the received signal is an important task in communication systems. T he degraded for high or quadratu re amplitude auto -correlation of correlation of decision feedback signal in orthogonal frequency division multiplexing (OFDM) system. The performance of the method is verified qualitatively and they show a n compared with earlier methods when applied under higher modulation schemes. noise ratio (SNR) is a requirement in many communication systems in order to aided (NDA) SNR estimators, have been proposed for constant modulus (CM) constellations. Most of them, however, cannot be applied to CM constellations. Decision directed (DD) can be used by substituting the true transmitted symbol s by the outputs of the decoder. Maximum likelihood estimator is one of DA estimator, and squared signal -to-noise variance (SNV), Although ML estimators provide good statistical performance, and they tend to be based estimators make use of both the in -phase and quadrature components of the received signal, and thus require coherent detection; in contrast, envelope" @default.
• W2550262075 created "2016-11-30" @default.
• W2550262075 creator A5071627138 @default.
• W2550262075 creator A5082069211 @default.
• W2550262075 date "2013-01-01" @default.
• W2550262075 modified "2023-09-27" @default.
• W2550262075 title "CORRELATION BASED SIGNAL TO NOISE RATIO ESTIMATION IN HIGH SPEED OFDM SYSTEMS USING M -QAM" @default.
• W2550262075 cites W1667165204 @default.
• W2550262075 cites W1962715039 @default.
• W2550262075 cites W1965392255 @default.
• W2550262075 cites W1980973965 @default.
• W2550262075 cites W1985690171 @default.
• W2550262075 cites W2036488048 @default.
• W2550262075 cites W2100653058 @default.
• W2550262075 cites W2100762899 @default.
• W2550262075 cites W2100841352 @default.
• W2550262075 cites W2104057862 @default.
• W2550262075 cites W2107189492 @default.
• W2550262075 cites W2108801140 @default.
• W2550262075 cites W2120062331 @default.
• W2550262075 cites W2133113956 @default.
• W2550262075 cites W2142247420 @default.
• W2550262075 cites W2144473688 @default.
• W2550262075 cites W2145614561 @default.
• W2550262075 cites W2157094190 @default.
• W2550262075 cites W3147705998 @default.
• W2550262075 hasPublicationYear "2013" @default.
• W2550262075 type Work @default.
• W2550262075 sameAs 2550262075 @default.
• W2550262075 citedByCount "0" @default.
• W2550262075 crossrefType "journal-article" @default.
• W2550262075 hasAuthorship W2550262075A5071627138 @default.
• W2550262075 hasAuthorship W2550262075A5082069211 @default.
• W2550262075 hasConcept C105795698 @default.
• W2550262075 hasConcept C107038049 @default.
• W2550262075 hasConcept C11413529 @default.
• W2550262075 hasConcept C123079801 @default.
• W2550262075 hasConcept C127240579 @default.
• W2550262075 hasConcept C138885662 @default.
• W2550262075 hasConcept C13944312 @default.
• W2550262075 hasConcept C185429906 @default.
• W2550262075 hasConcept C185837786 @default.
• W2550262075 hasConcept C199360897 @default.
• W2550262075 hasConcept C2779843651 @default.
• W2550262075 hasConcept C32409245 @default.
• W2550262075 hasConcept C33923547 @default.
• W2550262075 hasConcept C40409654 @default.
• W2550262075 hasConcept C41008148 @default.
• W2550262075 hasConcept C56296756 @default.
• W2550262075 hasConcept C57273362 @default.
• W2550262075 hasConcept C59030546 @default.
• W2550262075 hasConceptScore W2550262075C105795698 @default.
• W2550262075 hasConceptScore W2550262075C107038049 @default.
• W2550262075 hasConceptScore W2550262075C11413529 @default.
• W2550262075 hasConceptScore W2550262075C123079801 @default.
• W2550262075 hasConceptScore W2550262075C127240579 @default.
• W2550262075 hasConceptScore W2550262075C138885662 @default.
• W2550262075 hasConceptScore W2550262075C13944312 @default.
• W2550262075 hasConceptScore W2550262075C185429906 @default.
• W2550262075 hasConceptScore W2550262075C185837786 @default.
• W2550262075 hasConceptScore W2550262075C199360897 @default.
• W2550262075 hasConceptScore W2550262075C2779843651 @default.
• W2550262075 hasConceptScore W2550262075C32409245 @default.
• W2550262075 hasConceptScore W2550262075C33923547 @default.
• W2550262075 hasConceptScore W2550262075C40409654 @default.
• W2550262075 hasConceptScore W2550262075C41008148 @default.
• W2550262075 hasConceptScore W2550262075C56296756 @default.
• W2550262075 hasConceptScore W2550262075C57273362 @default.
• W2550262075 hasConceptScore W2550262075C59030546 @default.
• W2550262075 hasLocation W25502620751 @default.
• W2550262075 hasOpenAccess W2550262075 @default.
• W2550262075 hasPrimaryLocation W25502620751 @default.
• W2550262075 hasRelatedWork W155172891 @default.
• W2550262075 hasRelatedWork W1586391386 @default.
• W2550262075 hasRelatedWork W1978304441 @default.
• W2550262075 hasRelatedWork W2018437394 @default.
• W2550262075 hasRelatedWork W2083515159 @default.
• W2550262075 hasRelatedWork W2091661616 @default.
• W2550262075 hasRelatedWork W2107812913 @default.
• W2550262075 hasRelatedWork W2252538864 @default.
• W2550262075 hasRelatedWork W2277671845 @default.
• W2550262075 hasRelatedWork W2326122623 @default.
• W2550262075 hasRelatedWork W2353850897 @default.
• W2550262075 hasRelatedWork W2358519667 @default.
• W2550262075 hasRelatedWork W2375827350 @default.
• W2550262075 hasRelatedWork W2781829327 @default.
• W2550262075 hasRelatedWork W2896911261 @default.
• W2550262075 hasRelatedWork W298593200 @default.
• W2550262075 hasRelatedWork W3022349711 @default.
• W2550262075 hasRelatedWork W2184520557 @default.
• W2550262075 hasRelatedWork W2560496820 @default.
• W2550262075 hasRelatedWork W2931090347 @default.
• W2550262075 isParatext "false" @default.
• W2550262075 isRetracted "false" @default.
• W2550262075 magId "2550262075" @default.
• W2550262075 workType "article" @default.