Interleaving is a key component of many digital communication systems involving error correction schemes. It provides a kind of time diversity to protect the transmitted data against bursts of errors. Recently, interleavers have become an even more integral part of the code design itself, if we consider for example turbo and turbo-like codes. In a noncooperative context, a passive adversary has to solve the problem of estimating the interleaver parameters. In this paper, we propose an algorithm that is able to estimate the size, the starting position (frame synchronization) of the interleaver, and some information about the interleaver function. This is accomplished blindly at the output of a binary symmetric channel (BSC). Moreover, an improvement of the proposed method is introduced when a soft information on the decided bits is available.A theoretical analysis of the proposed technique is given. This allows us to express the optimal detection threshold and the theoretical probability of detection. This analysis gives us insight on the behavior of our method and allows us to improve our algorithm to get better performance. Some experimental results are run to validate the probability of success of our algorithm.
Abstract-This letter deals with the problem of non data aided (NDA) signal to noise ratio (SNR) estimation of OFDM signals transmitted through unknown multipath fading channel. Most of existing OFDM SNR estimators are based on the knowledge of pilot sequences which is not applicable in some contexts such as cognitive radio for instance. We show that it is possible to take advantage of the periodic redundancy induced by the cyclic prefix to get an accurate NDA SNR estimator. Numerical simulations highlight the benefit of the proposed method compared with the state of the art.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.