smoothing techniques for decision-directed mimo ofdm channel estimation

Clicks: 114
ID: 225309
2011
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Ranked #35 of 52 articles by views in neuropsychiatrie : klinik, diagnostik, therapie und rehabilitation : organ der gesellschaft osterreichischer nervenarzte und psychiater

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Abstract
With the purpose of supplying the demand of faster and more reliable communication, multiple-input multiple-output (MIMO) systems in conjunction with Orthogonal Frequency Division Multiplexing (OFDM) are subject of extensive research. Successful Decoding requires an accurate channel estimate at the receiver, which is gained either by evaluation of reference symbols which requires designated resources in the transmit signal or decision-directed approaches. The latter offers a convenient way to maximize bandwidth efficiency, but it suffers from error propagation due to the dependency between the decoding of the current data symbol and the calculation of the next channel estimate. In our contribution we consider linear smoothing techniques to mitigate error propagation by the introduction of backward dependencies in the decision-based channel estimation. Designed as a post-processing step, frame repeat requests can be lowered by applying this technique if the data is insensitive to latency. The problem of high memory requirements of FIR smoothing in the context of MIMO-OFDM is addressed with an recursive approach that acquires minimal resources with virtual no performance loss. Channel estimate normalized mean square error and bit error rate (BER) performance evaluations are presented. For reference, a median filtering technique is presented that operates on the MIMO time-frequency grids of channel coefficients to reduce the peak-like outliers produced by wrong decisions due to unsuccessful decoding. Performance in terms of Bit Error Rate is compared to the proposed smoothing techniques.
Reference Key
beinschob2011advancessmoothing Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;P. Beinschob;U. Zölzer
Journal neuropsychiatrie : klinik, diagnostik, therapie und rehabilitation : organ der gesellschaft osterreichischer nervenarzte und psychiater
Year 2011
DOI
10.5194/ars-9-139-2011
URL
http://www.adv-radio-sci.net/9/139/2011/ars-9-139-2011.pdf
Keywords
engineering (general) civil engineering (general)

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