title: ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¾ÑÐµÐ½ÐºÐ¸ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² ÑÐ¸Ð³Ð½Ð°Ð»Ð° Ñ OFDM Ð¼Ð¾Ð´ÑÐ»ÑÑÐ¸ÐµÐ¹ Ð² ÑÑÐ»Ð¾Ð²Ð¸ÑÑ Ð°Ð¿ÑÐ¸Ð¾ÑÐ½Ð¾Ð¹ Ð½ÐµÐ¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð½Ð¾ÑÑÐ¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Study of methods for estimating OFDM-signal parameters under conditions of a priori uncertainty
Creators: name: Ð¡Ð°Ð»ÑÐ½Ð¸ÐºÐ¾Ð², ÐÐ°Ð»ÐµÐ½ÑÐ¸Ð½
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2019
Subjects: OFDM-ÑÐ¸Ð³Ð½Ð°Ð»
ÑÐ»ÐµÐ¿Ð¾Ð¹ ÑÐºÐ²Ð°Ð»Ð°Ð¹Ð·ÐµÑ
RLS-Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼
LMS-Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼
Ð°Ð½Ð°Ð»Ð¸Ð·Ð°ÑÐ¾Ñ
Ð¾ÑÐµÐ½ÐºÐ° ÑÐ°ÑÑÐ¾ÑÑ
Ð¾ÑÐµÐ½ÐºÐ° ÑÐ°Ð·Ñ
Ð¾ÑÐµÐ½ÐºÐ° Ð´Ð»Ð¸ÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ ÑÐ¸Ð¼Ð²Ð¾Ð»Ð°
Ð¾ÑÐµÐ½ÐºÐ° Ð´Ð»Ð¸ÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ ÑÐ¸ÐºÐ»Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¿ÑÐµÑÐ¸ÐºÑÐ°
orthogonal frequensy division multiplexing
OFDM
blind equalizer
RLS
LMS
CMA
MSE
analyzer

description: Ð ÑÑÐµÐ´Ðµ Matlab ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° Ð¼Ð¾Ð´ÐµÐ»Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð°ÑÐ¾ÑÐ° OFDM-ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð², Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÑÑÑÐ°Ñ ÑÐ°ÑÑÐ¾ÑÐ½Ð¾-Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÐµ ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸ÐºÐ¸ ÑÐ¸Ð³Ð½Ð°Ð»Ð°. ÐÐ½Ð°Ð»Ð¸Ð·Ð°ÑÐ¾Ñ ÑÐµÑÐ°ÐµÑ Ð·Ð°Ð´Ð°ÑÑ ÐºÐ¾Ð¼Ð¿ÐµÐ½ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÐºÐ°Ð½Ð°Ð»ÑÐ½ÑÑ Ð¸ÑÐºÐ°Ð¶ÐµÐ½Ð¸Ð¹, Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÑ âÑÐ»ÐµÐ¿Ð¾Ð¹â ÑÐºÐ²Ð°Ð»Ð°Ð¹Ð·ÐµÑ. Ð¡ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÐºÐ¾ÑÑÐµÐ»ÑÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÑÑÑÑÑ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ ÑÐ°ÑÑÐ¾ÑÐ½Ð¾-Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÐµ ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸ÐºÐ¸. ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ñ ÑÐ°Ð·Ð½ÑÐµ ÑÑÐµÐ¼Ñ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ ÑÐºÐ²Ð°Ð»Ð°Ð¹Ð·ÐµÑÐ°. ÐÐ»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð¹ ÑÑÐµÐ¼Ñ Ð±ÑÐ»Ð¸ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ñ Ð¾Ð±ÑÑÐ°ÑÑÐ¸Ðµ ÐºÑÐ¸Ð²ÑÐµ. ÐÑÐ¾Ð¸Ð·Ð²ÐµÐ´ÐµÐ½Ð¾ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð°Ð´Ð°Ð¿ÑÐ°ÑÐ¸Ð¸ ÑÐºÐ²Ð°Ð»Ð°Ð¹Ð·ÐµÑÐ° RLS Ð¸ LMS. ÐÑÐ¾Ð¸Ð·Ð²ÐµÐ´ÐµÐ½Ð¾ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ ÑÐ°Ð±Ð¾ÑÑ ÑÐºÐ²Ð°Ð»Ð°Ð¹Ð·ÐµÑÐ° Ð² ÑÐ°ÑÑÐ¾ÑÐ½Ð¾Ð¹ Ð¸ Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð¾Ð¹ Ð¾Ð±Ð»Ð°ÑÑÑÑ. ÐÑÐ¸Ð²ÐµÐ´ÐµÐ½Ñ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ ÑÐ°Ð±Ð¾ÑÑ ÑÐºÐ²Ð°Ð»Ð°Ð¹Ð·ÐµÑÐ° Ð´Ð»Ñ ÑÐ¸Ð³Ð½Ð°Ð»Ð° Ñ ÑÑÐ°ÑÐ¸Ð¾Ð½Ð°ÑÐ½ÑÐ¼Ð¸ Ð¸ Ð½ÐµÑÑÐ°ÑÐ¸Ð¾Ð½Ð°ÑÐ½ÑÐ¼Ð¸ Ð·Ð°Ð¼Ð¸ÑÐ°Ð½Ð¸ÑÐ¼Ð¸. Ð ÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð¼ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÑÐ²Ð»ÑÐµÑÑÑ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ Ð¾Ð¿ÑÐ¸Ð¼Ð°Ð»ÑÐ½Ð¾Ð¹ ÑÑÐµÐ¼Ñ ÑÐºÐ²Ð°Ð»Ð°Ð¹Ð·ÐµÑÐ° Ñ ÑÐ¾ÑÐºÐ¸ Ð·ÑÐµÐ½Ð¸Ñ ÑÐºÐ¾ÑÐ¾ÑÑÐ¸ ÑÑÐ¾Ð´Ð¸Ð¼Ð¾ÑÑÐ¸ Ð¸ Ð²ÐµÐ»Ð¸ÑÐ¸Ð½Ñ Ð¾ÑÑÐ°ÑÐ¾ÑÐ½Ð¾Ð¹ Ð¾ÑÐ¸Ð±ÐºÐ¸.
description: The Matlab environment has developed a model of an OFDM signal analyzer that determines the time-frequency characteristics of a signal. The analyzer solves the problem of compensating for channel distortions using a âblindâ equalizer. Using the correlation analysis, the main time-frequency characteristics are determined. Different designs of the equalizer are investigated. For each circuit, training curves were constructed. The operation of the adaptation algorithms of the equalizer RLS and LMS is compared. The equalizer operation in the frequency and time domains is compared. The results of the equalizer for a signal with stationary and non-stationary fading are presented. The result of the analysis is the determination of the optimal equalizer circuit in terms of convergence rate and residual error value.