PERFORMANCE OF ROBUST METRICS WITH CONVOLUTIONAL CODING AND DIVERSITY IN FHSS SYSTEMS UNDER PARTIAL-BAND NOISE JAMMING
SCIE
SCOPUS
- Title
- PERFORMANCE OF ROBUST METRICS WITH CONVOLUTIONAL CODING AND DIVERSITY IN FHSS SYSTEMS UNDER PARTIAL-BAND NOISE JAMMING
- Authors
- CHEUN, K; STARK, WE
- Date Issued
- 1993-01
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGI
- Abstract
- Performance of robust metrics (metrics that can be computed from the outputs of the matched filters only) with convolutional coding and diversity under worst case partial-band noise jamming is analyzed. Both binary and dual-k convolutional codes employing these metrics with diversity are compared via Union-Chernoff bounds. The performances of metrics considered in the literature that assume perfect side-information are given for comparison purposes. We find that there exists very good robust metrics that provide performance comparable to metrics using perfect side-information. Among the robust metrics considered in this paper, the self-normalized metric offers the best performance and achieves performance practically identical to that of the square-law-combining metric with perfect side-information for M = 8.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/28174
- DOI
- 10.1109/26.212379
- ISSN
- 0090-6778
- Article Type
- Article
- Citation
- IEEE TRANSACTIONS ON COMMUNICATIONS, vol. 41, no. 1, page. 200 - 209, 1993-01
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.