Influence of oversampling on channel parameter estimation for joint communication and positioning

2011 ◽  
Author(s):  
Kathrin Schmeink ◽  
Rebecca Adam ◽  
Peter Adam Hoeher
Keyword(s):  
Parameter Estimation ◽  
Channel Parameter

Two-Dimensional Channel Parameter Estimation for Millimeter-Wave Systems using Butler Matrices

2020 ◽  
pp. 1-1
Author(s):  
Fazal-E- Asim ◽  
Felix Antreich ◽  
Charles C. Cavalcante ◽  
Andre L. F. De Almeida ◽  
Josef A. Nossek
Keyword(s):  
Parameter Estimation ◽  
Millimeter Wave ◽  
Two Dimensional ◽  
Channel Parameter

High-resolution channel parameter estimation for communication systems equipped with antenna arrays

2003 ◽  
Vol 36 (16) ◽  
pp. 97-102 ◽  
Author(s):  
Bernard H. Fleury ◽  
Xuefeng Yin ◽  
Patrik Jourdan ◽  
Andreas Stucki
Keyword(s):  
Parameter Estimation ◽  
High Resolution ◽  
Antenna Arrays ◽  
Communication Systems ◽  
Channel Parameter

An Accurate Scheme for Channel Parameter Estimation in Mobile Propagations

2009 ◽  
Vol E92-C (1) ◽  
pp. 116-120 ◽  
Author(s):  
Jingyu HUA ◽  
Limin MENG ◽  
Gang LI ◽  
Dongming WANG ◽  
Xiaohu YOU
Keyword(s):  
Parameter Estimation ◽  
Channel Parameter ◽  
Accurate Scheme

scholarly journals A Robust Semi-Blind Receiver for Joint Symbol and Channel Parameter Estimation in Multiple-Antenna Systems

Electronics ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 550 ◽  
Author(s):  
Jianhe Du ◽  
Meng Han ◽  
Yan Hua ◽  
Yuanzhi Chen ◽  
Heyun Lin
Keyword(s):  
Parameter Estimation ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Multiple Antenna ◽  
Multiple Antenna Systems ◽  
Channel Parameter ◽  
Input Multiple Output ◽  
Blind Receivers ◽  
Blind Receiver ◽  
Antenna Systems

For multiple-antenna systems, the technologies of joint symbol and channel parameter estimation have been developed in recent works. However, existing technologies have a number of problems, such as performance degradation and the large cost of prior information. In this paper, a tensor space-time coding scheme in multiple-antenna systems was considered. This scheme allowed spreading, multiplexing, and allocating information symbols associated with multiple transmitted data streams. We showed that the received signal was formulated as a third-order tensor satisfying a Tucker-2 model, and then a robust semi-blind receiver was developed based on the optimized Levenberg–Marquardt (LM) algorithm. Under the assumption that the instantaneous channel state information (CSI) is unknown at the receiving end, the proposed semi-blind receiver jointly estimates the information symbol and channel parameters efficiently. The proposed receiver had a better estimation performance compared with existing semi-blind receivers, and still performed well when the channel became strongly correlated. Moreover, the proposed semi-blind receiver could be extended to the multi-user massive multiple-input multiple-output (MIMO) system for joint symbol and channel estimation. Computer simulation results were shown to demonstrate the effectiveness of the proposed receiver.

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