Sammenlign metoder
Gennemgå dine valgte metoder side om side; rækker, der afviger, er fremhævet.
| Turbokodning med iterativ afkodning× | Lav-densitets paritet-kontrol koder (LDPC)× | Multiple-Input Multiple-Output (MIMO)× | Ortogonal FrekvensdelingsMultiplex (OFDM)× | Polarkoder med successiv annulleringsafkodning× | |
|---|---|---|---|---|---|
| Fagområde | Telekommunikation | Telekommunikation | Telekommunikation | Telekommunikation | Telekommunikation |
| Familie | Process / pipeline | Process / pipeline | Process / pipeline | Process / pipeline | Process / pipeline |
| Oprindelsesår≠ | 1993 | 1962 | 1995 | 1971 | 2009 |
| Ophavsperson≠ | Claude Berrou, Alain Glavieux, and Punya Thitimajshima | Robert Gallager | Telatar, Foschini, and Gans | Weinstein and Ebert | Erdal Arikan |
| Type≠ | iterative error-correcting code | linear error-correcting code | spatial multiplexing technique | multicarrier modulation scheme | recursive error-correcting code |
| Oprindelig kilde≠ | Berrou, C., Glavieux, A., & Thitimajshima, P. (1993). Near Shannon limit error-correcting coding and decoding: Turbo-codes. In Proceedings of the IEEE International Conference on Communications (ICC), 1064-1070. DOI ↗ | Gallager, R. G. (1962). Low-density parity-check codes. IRE Transactions on Information Theory, 8(1), 21-28. DOI ↗ | Telatar, I. (1999). Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications, 10(6), 585-595. DOI ↗ | Weinstein, S. B., & Ebert, P. M. (1971). Data transmission by frequency-division multiplexing using the discrete Fourier transform. IEEE Transactions on Communication Technology, 19(5), 628-634. DOI ↗ | Arikan, E. (2009). Channel polarization: A method for constructing capacity-achieving codes for symmetric binary-input memoryless channels. IEEE Transactions on Information Theory, 55(7), 3051-3073. DOI ↗ |
| Aliasser≠ | iterative decoding, concatenated codes | sparse codes, belief propagation codes | spatial multiplexing, antenna diversity | multicarrier modulation | channel polarization, recursive codes |
| Relaterede | 5 | 5 | 5 | 5 | 5 |
| Resumé≠ | Turbo codes, introduced by Berrou, Glavieux, and Thitimajshima in 1993, are a landmark in channel coding history. They achieve performance within 0.5 dB of the Shannon limit—the theoretical boundary for reliable communication—a feat previously thought impossible with practical complexity. Turbo codes use concatenated convolutional codes with an interleaver and iterative decoding via belief propagation. They were adopted in 3G (UMTS) and remain important in 4G/5G systems alongside LDPC codes. | LDPC codes, invented by Robert Gallager in 1962 and rediscovered in the 1990s by MacKay, are linear error-correcting codes defined by sparse parity-check matrices. They achieve performance within 0.4 dB of the Shannon limit with iterative belief-propagation decoding and have become the standard for modern wireless (WiFi-6, 5G NR, Digital Video Broadcasting). Unlike turbo codes, LDPC codes have a more elegant graph-theoretic structure and more mature theoretical analysis. | MIMO is a technique that uses multiple transmit and receive antennas to significantly increase channel capacity and reliability. Pioneered theoretically by Telatar (1999) and Foschini & Gans (1998), MIMO exploits multipath propagation—typically a liability in wireless—as an asset by creating independent spatial channels. It is now fundamental to all modern wireless systems including LTE, WiFi-6, and 5G, where it provides both capacity gains through spatial multiplexing and robustness through diversity. | OFDM is a multicarrier modulation technique that divides a wideband channel into many narrowband orthogonal subcarriers. Introduced by Weinstein and Ebert in 1971, it exploits the duality between time and frequency domains to efficiently use spectrum while mitigating intersymbol interference in frequency-selective channels. OFDM is now the standard for high-speed wireless systems including WiFi, cellular LTE, and digital broadcasting. | Polar codes, introduced by Erdal Arikan in 2009, are the first constructive family of codes proven to achieve the Shannon capacity of symmetric binary-input memoryless channels. They use recursive construction and successive cancellation decoding, a simple greedy algorithm with theoretical guarantees. Polar codes were adopted in 5G NR for control channel coding and are studied for future 6G systems. Unlike turbo and LDPC codes (which are empirical), polar codes provide rigorous theoretical foundations. |
| ScholarGateDatasæt ↗ |
|
|
|
|
|