Complexity evaluation for the implementation of a Pre-FFT equalizer in an OFDM receiver

Citation
S. Armour et al., Complexity evaluation for the implementation of a Pre-FFT equalizer in an OFDM receiver, IEEE CONS E, 46(3), 2000, pp. 428-437
Citations number
7
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
ISSN journal
00983063 → ACNP
Volume
46
Issue
3
Year of publication
2000
Pages
428 - 437
Database
ISI
SICI code
0098-3063(200008)46:3<428:CEFTIO>2.0.ZU;2-O
Abstract
A Pre-FFT Equalizer (PFE) has been shown to offer a significant throughput efficiency improvement when applied to an OFDM receiver. Alternatively, the PFE can be used to increase the maximum delay spread conditions under whic h the OFDM system can operate effectively. Due to the manner of its operati on, the PFE requires the use of modified adaptation algorithms if iterative , decision directed adaptation is required. In this paper, the computationa l complexity required to implement a PFE and a suitable adaptation strategy is evaluated Initially, an LMS adaptation algorithm is investigated and ev aluated in terms of its suitability for application in conjunction with the PFE to standards such as ETSI DVB-T and HIPERLAN/2 and IEEE 802.11a. The c omplexity requirements are found to be high, particularly in the case of DV B-T. The demand for a lower complexity adaptation algorithm is thus identif ied. As a result, a CSI-based adaptation method is subsequently considered. The complexity requirement of this algorithm is also analyzed and evaluate d and is shown to be much lower than that of the LMS algorithm. Thus, it is shown that if the CSI-based adaptation method is used, the dominant comple xity requirement is due to the implementation of the equalizing filter and not the adaptation method. Reduced filter complexity requirement is thus sh own to be the kev to enabling effective application of the PFE. The ATSC 8- VSB standard is identified as a possible source of techniques to reduce or facilitate the high complexity demands for implementation of the PFE filter .