A better algorithm for estimating aeronautical channel OFDM system based on GAIC and RPC

Jian He, Yongsheng Wang, Rugui Yao, Kuande Wang

Research output: Contribution to journalArticlepeer-review

Abstract

Aim: We believe that existing algorithms can still be improved in two respects: (1) real-time capability, (2) precision. Section 1 of the full paper analyzes the aeronautical channel and finds that it is sparse. Section 2 discusses our better algorithm for estimating the aeronautical channel OFDM (orthogonal frequency division multiplexing) system using GAIC (generalized Akaike information criterion) and RPC (repeated phase-rotated Chu) sequence. Subsection 2.1 utilizes the GAIC to estimate the maximum time delay of the aeronautical channel and those of its individual paths and then utilizes the improved least squares algorithm to obtain finally the estimated results of the aeronautical channel. The flow chart of our algorithm is given in Fig. 2 in the full paper. Subsection 2.2 uses the RPC training sequence to produce OFDM training sequences, thus greatly reducing its computation load and improving its real-time capability. Subsection 2.3 simulates the performance of our algorithm with the multi-path parameters of a wireless aeronautical channel as given in Table 1. The simulation results, shown in Fig. 3, indicate preliminarily that our algorithm, with GAIC and RPC sequence combined, can improve the precision for estimating the aeronautical channel.

Original languageEnglish
Pages (from-to)250-254
Number of pages5
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume27
Issue number2
StatePublished - Apr 2009

Keywords

  • Aeronautical channel
  • Estimation
  • GAIC (generalized Akaike information criterion)
  • Orthogonal frequency division multiplexing
  • RPC (repeated phase-rotated Chu) sequence
  • Sparse channel

Fingerprint

Dive into the research topics of 'A better algorithm for estimating aeronautical channel OFDM system based on GAIC and RPC'. Together they form a unique fingerprint.

Cite this