Signal detection through circular convolution reconstruction for OFDM system in fast varying channel
نویسندگان
چکیده
منابع مشابه
Time-Varying Frequency Fading Channel Tracking In OFDM-PLNC System, Using Kalman Filter
Physical-layer network coding (PLNC) has the ability to drastically improve the throughput of multi-source wireless communication systems. In this paper, we focus on the problem of channel tracking in a Decode-and-Forward (DF) OFDM PLNC system. We proposed a Kalman Filter-based algorithm for tracking the frequency/time fading channel in this system. Tracking of the channel is performed in the t...
متن کاملEfficient Signal Detection for MIMO-OFDM System
Recently, the multiple-input multiple-output (MIMO) schemes have been proposed as efficient solution for future wireless system. MIMO schemes can achieve a significant increase in the bandwidth efficiency as well as an improvement of the transmission reliability. In this paper, switching for the detection schemes based on channel condition is proposed in MIMO system. The QRD-M detection scheme ...
متن کاملchannel estimation for mimo-ofdm systems
تخمین دقیق مشخصات کانال در سیستم های مخابراتی یک امر مهم محسوب می گردد. این امر به ویژه در کانال های بیسیم با خاصیت فرکانس گزینی و زمان گزینی شدید، چالش بزرگی است. مقالات متعدد پر از روش های مبتکرانه ای برای طراحی و آنالیز الگوریتم های تخمین کانال است که بیشتر آنها از روش های خاصی استفاده می کنند که یا دارای عملکرد خوب با پیچیدگی محاسباتی بالا هستند و یا با عملکرد نه چندان خوب پیچیدگی پایینی...
Maximum likelihood channel estimation and signal detection for OFDM systems
We apply joint maximum likelihood (ML) estimation to orthogonal frequency division multiplexing (OFDM) systems and develop a simple receiver structure that gives joint ML estimates of a multipath channel and the transmitted data sequence. Simulation results have confirmed good performance of our algorithm. For a two-path or three-path slow fading channel, our algorithm converges to the case wit...
متن کاملKalman-Filter Channel Estimator for OFDM System In Time-Varying Channel
This paper presents a method of improving the least square channel estimator accuracy without increasing the pilot density. The Kalman filter process equation can be represented as Autoregressive model, and the least square channel estimate is seen as a noisy measurement of the true channel state, so the Kalman filter measurement equation can be represented as the least square estimated channel...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Modern Transportation
سال: 2012
ISSN: 2095-087X,2196-0577
DOI: 10.1007/bf03325804