Research on the Application of DPSK Technology in OFDM Doppler Receiver

2012 ◽  
Vol 468-471 ◽  
pp. 2206-2210
Author(s):  
Yao Fu ◽  
Xue Yan Chen ◽  
Yu Feng Ma ◽  
Hong Yuan Wang
Keyword(s):  
Computational Complexity ◽  
Channel Estimation ◽  
Phase Modulation ◽  
Original Data ◽  
Differential Phase ◽  
Doppler Diversity ◽  
Performance Gains ◽  
Diversity Receiver

A Doppler diversity receiver for OFDM is proposed by Kim B C[1], which requires channel estimation at the receiver, so its structure is complicated, what’s more, the receiver needs a large amount of calculation. Different from it, we use the differential phase modulation technology in the OFDM Doppler receiver, so the receiver can recover the original data without channel estimation, and the implement is simple, the computational complexity is low. However, experiment results show that the BER of the new receiver is higher than the conventional, and it can not get performance gains by diversity either.

Channel Estimation Method Using Arbitrary Amplitude and Phase Modulation Schemes for MIMO Sensor

2014 ◽  
Vol E97.B (10) ◽  
pp. 2102-2109
Author(s):  
Tsubasa TASHIRO ◽  
Kentaro NISHIMORI ◽  
Tsutomu MITSUI ◽  
Nobuyasu TAKEMURA
Keyword(s):  
Channel Estimation ◽  
Phase Modulation ◽  
Estimation Method ◽  
Arbitrary Amplitude ◽  
Modulation Schemes

scholarly journals The Romano–Wolf multiple-hypothesis correction in Stata

2020 ◽  
Vol 20 (4) ◽  
pp. 812-843
Author(s):  
Damian Clarke ◽  
Joseph P. Romano ◽  
Michael Wolf
Keyword(s):  
Error Rate ◽  
Multiple Testing ◽  
Original Data ◽  
Dependence Structure ◽  
Familywise Error Rate ◽  
Testing Procedures ◽  
Multiple Testing Procedures ◽  
Multiple Hypothesis ◽  
Wide Range ◽  
Performance Gains

When considering multiple-hypothesis tests simultaneously, standard statistical techniques will lead to overrejection of null hypotheses unless the multiplicity of the testing framework is explicitly considered. In this article, we discuss the Romano–Wolf multiple-hypothesis correction and document its implementation in Stata. The Romano–Wolf correction (asymptotically) controls the familywise error rate, that is, the probability of rejecting at least one true null hypothesis among a family of hypotheses under test. This correction is considerably more powerful than earlier multiple-testing procedures, such as the Bonferroni and Holm corrections, given that it takes into account the dependence structure of the test statistics by resampling from the original data. We describe a command, rwolf, that implements this correction and provide several examples based on a wide range of models. We document and discuss the performance gains from using rwolf over other multiple-testing procedures that control the familywise error rate.

scholarly journals Fundamental Tradeoff Between Doppler Diversity and Channel Estimation Errors in SIMO High Mobility Communication Systems

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 21867-21878 ◽  
Author(s):  
Mahamuda Alhaji Mahamadu ◽  
Jingxian Wu ◽  
Zheng Ma ◽  
Weixi Zhou ◽  
Youhua Tang ◽  
...  
Keyword(s):  
Channel Estimation ◽  
Communication Systems ◽  
High Mobility ◽  
Estimation Errors ◽  
Channel Estimation Errors ◽  
Doppler Diversity

Chaotic-Sequence-Based Channel Estimation Algorithm for Secure Optical OFDM Systems

2014 ◽  
Vol 602-605 ◽  
pp. 3165-3168 ◽  
Author(s):  
Han Dong Wang ◽  
Li Qun Huang ◽  
Feng Yao
Keyword(s):  
Channel Estimation ◽  
Binary Sequence ◽  
Estimation Algorithm ◽  
Original Data ◽  
Chaotic Sequence ◽  
New Method ◽  
Ofdm Systems ◽  
Ofdm System ◽  
Optical Ofdm ◽  
Very High

In this paper, in order to improve the security of optical OFDM system, we propose a new method to generate the pilot sequence of channel estimation using chaotic sequence. Firstly, we assign initial values to chaotic system, and calculate a chaotic sequence through an iteration method, then converting it into a binary sequence as the pilot of a DFT-based channel estimation algorithm. When the receiving end doesn’t know the chaotic-sequence-based pilot, the system will have very high BER, and can not restore the original data, which indicate that the new method provides a certain degree of security for optical OFDM systems without increasing the system complexity.

An Improved Signal Detection Technique for OFDM System

2013 ◽  
Vol 347-350 ◽  
pp. 3527-3531
Author(s):  
Xiao Hong Wang ◽  
Feng Ming Li
Keyword(s):  
Computational Complexity ◽  
Channel Estimation ◽  
Signal Detection ◽  
Detection Probability ◽  
Roc Curves ◽  
Detection Technique ◽  
Ofdm System ◽  
Low Snr ◽  
Awgn Channel ◽  
Simulation Results

In this paper a signal detection technique based on pilots which are transmitted for channel estimation in OFDM system is proposed in AWGN channel. We analyse the algorithm based on pilots and derive an improved signal detection technique. The performance is compared in terms of detection probability and ROC curves are given. The simulation results show that the improved detection technique whose computational complexity is not high can increase the precision of the detection probability at low SNR.

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