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Sufficient statistics, classification, and a novel approach for frame detection in OFDM systems

Abdzadeh Ziabari, H ; Sharif University of Technology | 2013

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  1. Type of Document: Article
  2. DOI: 10.1109/TVT.2013.2240027
  3. Publisher: 2013
  4. Abstract:
  5. This paper addresses the problem of frame detection in orthogonal frequency-division multiplexing (OFDM) systems. Using fourth-order statistics, a novel approach is presented for detection of a preamble composed of two identical parts in the time domain. First, it is demonstrated that sufficient statistics for detection of a periodic preamble do not exist, and conventional methods are not optimal. Next, looking at the detection of a preamble from the viewpoints of hypothesis testing and classification, a new method is presented based on the idea that fourth-order statistics can increase class separability (between-class distance) and consequently improve detection performance. It is proven that the proposed method has a considerably lower probability of false alarm. Along with the missed-detection performance comparisons, it will be presented that the new scheme offers a superior detection performance and makes threshold selection significantly easier
  6. Keywords:
  7. Classification ; Detection ; Orthognal frequency-division multiplexing (OFDM) ; Preamble ; Synchronization ; Conventional methods ; Detection performance ; Fourth order statistics ; Lower probabilities ; Orthogonal frequency-division multiplexing (OFDM) system ; Performance comparison ; Sufficient statistics ; Classification (of information) ; Error detection ; Telecommunication systems ; Orthogonal frequency division multiplexing
  8. Source: IEEE Transactions on Vehicular Technology ; Volume 62, Issue 6 , 2013 , Pages 2481-2495 ; 00189545 (ISSN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6410446