On Channel Estimation and Equalization in 2 $\times$ 1 MISO TDS-OFDM Based Terrestrial DTV Systems

Xiong, Jian; Gui, Lin; Liu, Huafen; Cheng, Peng

doi:10.1109/tbc.2011.2179729

Cited by 12 publications

(6 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Firstly, it will cause phase rotation of the receiving signal which will be reflected in the multiplicative factor 2 error ( + )/ ; secondly, the frequency offset will result in a fading term (sin error / sin( error / )) error (( −1)/ ) ; finally, the frequency offset will damage the orthogonal among subchannels and result in the interference term ∑ −1 =0 ̸ = , ICI( − ). In order to understand the impact of Δ on the system performance, [18] suggests using the additive…”

Section: Frequency Synchronizationmentioning

confidence: 99%

See 1 more Smart Citation

Design and Study of Cognitive Network Physical Layer Simulation Platform

An¹,

Wang

Xiao

2014

Abstract and Applied Analysis

View full text Add to dashboard Cite

Cognitive radio technology has received wide attention for its ability to sense and use idle frequency. IEEE 802.22 WRAN, the first to follow the standard in cognitive radio technology, is featured by spectrum sensing and wireless data transmission. As far as wireless transmission is concerned, the availability and implementation of a mature and robust physical layer algorithm are essential to high performance. For the physical layer of WRAN using OFDMA technology, this paper proposes a synchronization algorithm and at the same time provides a public platform for the improvement and verification of that new algorithm. The simulation results show that the performance of the platform is highly close to the theoretical value.

show abstract

Section: Frequency Synchronizationmentioning

confidence: 99%

“…According to the WRAN downlink signal processing flow, the signals need to be processed in the following modules after going through the synchronization and the OFDM demodulation processes [16][17][18].…”

Section: Module Implementationmentioning

confidence: 99%

Design and Study of Cognitive Network Physical Layer Simulation Platform

An¹,

Wang

Xiao

2014

Abstract and Applied Analysis

View full text Add to dashboard Cite

show abstract

“…The frame structure consists of the N PN (long PN sequence as the guard interval) and N subcarriers, as shown in Figure 1 [2,3]. At each transmit antenna, the PN sequences, which are orthogonal to one another or cyclically shifted, are transmitted by BPSK modulation in the same phase angle for MISO channel estimation [5][6][7]. We assume that the Doppler shifts between all transmit-receive antenna pairs are approximately the same [10].…”

Section: System Modelmentioning

confidence: 99%

“…When two PN sequences are transmitted in the same phase angle in the conventional system [5][6][7], as shown in Figure 2, the received kth PN sequence PN Tx (k) in the ideal channel state can be written as…”

Section: Transmitted Pn Sequence Cancellation Problem and Cfo Estimatmentioning

confidence: 99%

“…Recently, research on the transmit diversity scheme of the TDS-OFDM systems has been conducted in [5][6][7], and it mainly focused on the 2 × 1 multi input-single output (MISO) systems to achieve diversity gain. The Alamouti code [8] is a well-known transmission method for 2 × 1 MISO systems and can achieve good spatial diversity gain with minimal decoding complexity.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Carrier frequency offset estimation method for 2 × 1 MISO TDS-OFDM systems

Heo

Kim

2013

J Wireless Com Network

View full text Add to dashboard Cite

In time-domain synchronous (TDS)-orthogonal frequency division multiplexing (OFDM) systems, a pseudo noise (PN) sequence is inserted instead of the cyclic prefix. The PN sequence is used not only as a guard interval but also as a training sequence for channel estimation and synchronization in the time domain. Recently, research studies on 2 × 1 multi input-single output (MISO) TDS-OFDM systems have been conducted, and different PN sequences (which are orthogonal to one another or cyclically shifted) are transmitted at each transmit antenna for channel estimation, which are modulated by binary phase shift keying in the same phase angle. However, when the absolute phase difference among the transmitted PN sequences is π, a PN sequence cancellation problem occurs, making the estimation of an accurate carrier frequency offset (CFO) difficult. In this paper, a CFO estimation method with the aid of PN sequences for 2 × 1 MISO TDS-OFDM systems is proposed. In the proposed method, the phase of the PN sequences at each antenna is rotated differently and transmitted to prevent a PN sequence-canceling problem. In addition, a CFO estimation scheme using channel state information is proposed to estimate an accurate CFO in time-varying channels. We show by computer simulations that the mean square error performance of the proposed method over an additive white Gaussian noise environment and time-varying Rayleigh channel is higher than that of the conventional method.

show abstract

ICI Mitigation by Estimation of Double Carrier Frequency Offsets in High-Speed-Railway Communication Systems for Smart Cities

Trinh

et al. 2018

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

View full text Add to dashboard Cite

On Channel Estimation and Equalization in 2 $\times$ 1 MISO TDS-OFDM Based Terrestrial DTV Systems

Cited by 12 publications

References 22 publications

Design and Study of Cognitive Network Physical Layer Simulation Platform

Design and Study of Cognitive Network Physical Layer Simulation Platform

Carrier frequency offset estimation method for 2 × 1 MISO TDS-OFDM systems

ICI Mitigation by Estimation of Double Carrier Frequency Offsets in High-Speed-Railway Communication Systems for Smart Cities

Contact Info

Product

Resources

About