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Home / programming language / Online Matlab Projects / Low-Complexity Channel Estimation and Detection for MIMO-OFDM Receiver With ESPAR Antenna
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Low-Complexity Channel Estimation and Detection for MIMO-OFDM Receiver With ESPAR Antenna

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SKU: PROJ7384 Categories: 2017 Projects, Communications Projects, Online Matlab Projects Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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Low-Complexity Channel Estimation and Detection for MIMO-OFDM Receiver With ESPAR Antenna

Abstract—Multiple-input–multiple-output orthogonal frequencydivision multiplexing (MIMO-OFDM) receivers with an electronically steerable passive array radiator (ESPAR) antenna can improve bit error rate (BER) performance and obtain additional diversity gain without increasing the number of radio-frequency (RF) front-end circuits. In this scheme, a minimum-mean-square-error (MMSE) channel estimator is employed for obtaining the channel state information. However, its drawbacks include insufficient estimation accuracy and high computational complexity due to the inverse matrix calculation. In this paper, we propose using a low-complexity compressed-sensingbased
channel estimation for the MIMO-OFDM receiver with an ESPAR antenna. We also propose a low-complexity detection
scheme to further reduce the computational cost required for the detection. The simulation results show that with using the proposed channel estimation method, the BER performance is improved, while its complexity is reduced. The simulations also show that the proposed detection scheme successfully reduces the required computational cost while minimizing the degradation in the BER.< final year projects >

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