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জিরো-ফোর্সিং এবং মিনিমাম মিন-স্কোয়ার এরর ইকুয়ালাইজেশন×লো-ডেনসিটি প্যারিটি-চেক কোড (এলডিপিসি)×মাল্টিপল-ইনপুট মাল্টিপল-আউটপুট (MIMO)×
ক্ষেত্রটেলিযোগাযোগটেলিযোগাযোগটেলিযোগাযোগ
পরিবারProcess / pipelineProcess / pipelineProcess / pipeline
উদ্ভবের বছর197419621995
প্রবর্তকSaleh Mansour and Paul ZervosRobert GallagerTelatar, Foschini, and Gans
ধরনlinear equalization algorithmlinear error-correcting codespatial multiplexing technique
মৌলিক উৎসProakis, J. G. (2001). Digital Communications (4th ed.). McGraw-Hill. link ↗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 ↗
অপর নামchannel equalization, interference cancellationsparse codes, belief propagation codesspatial multiplexing, antenna diversity
সম্পর্কিত555
সারসংক্ষেপZero-Forcing (ZF) and Minimum Mean-Square Error (MMSE) equalization are fundamental linear receiver algorithms for combating intersymbol interference in dispersive channels. Developed in the context of data transmission theory, these methods form the basis of modern channel equalization in wireless and wired systems. While ZF aggressively cancels interference, MMSE balances interference suppression with noise enhancement, making it the optimal linear solution under Gaussian noise.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.
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ScholarGateপদ্ধতির তুলনা করুন: ZF/MMSE Equalization · LDPC Codes · MIMO. 2026-06-18 তারিখে সংগৃহীত, উৎস: https://scholargate.app/bn/compare