A sequential monte-carlo kalman filter based delay and channel estimation method in the MIMO-OFDM system

2005 ◽  
Author(s):  
Kyeong Jin Kim ◽  
T. Reid ◽  
R.A. Iltis
Keyword(s):  
Monte Carlo ◽  
Kalman Filter ◽  
Channel Estimation ◽  
Sequential Monte Carlo ◽  
Estimation Method ◽  
Ofdm System ◽  
Mimo Ofdm

scholarly journals Singular Value Decomposition Channel Estimation in STBC MIMO-OFDM System

2019 ◽  
Vol 9 (15) ◽  
pp. 3067 ◽  
Author(s):  
Tang ◽  
Zhou ◽  
Wang
Keyword(s):  
Singular Value Decomposition ◽  
Channel Estimation ◽  
Estimation Method ◽  
Singular Value ◽  
Ofdm System ◽  
Time Block ◽  
Autocorrelation Matrix ◽  
Mimo Ofdm ◽  
Value Decomposition ◽  
Inverse Operation

The multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) technology is the combination of the OFDM and MIMO technologies, which could improve the system capacity and make efficient utilization of the frequency spectrum. This paper utilizes space-time block coding (STBC) to achieve diversity gains and combat the channel fading. However, channel estimation is an essential block for space-time block decoding (STBD). Many channel estimation methods are utilized for the single antenna OFDM system, but they cannot be directly applied to the multiple antennas system due to the interference from other antennas. In this paper, orthogonal pilot sequences are designed to suppress the interference of pilot symbols from other transmit antennas. This paper also derives a minimum mean square error (MMSE) channel estimation method in MIMO-OFDM systems. The MMSE method involves the inverse operation of the channel autocorrelation matrix, which has a large calculation complexity. To further reduce the complexity of the MMSE method, the singular value decomposition (SVD) is used to decompose the channel autocorrelation matrix, which avoids the inverse operation. Simulation results verify that the SVD channel estimation method with comb-type pilots and STBC can be effectively adapted to multipath propagation conditions.

scholarly journals Pilot Sequence Assisted Channel Estimation in MIMO/SIMO/SISO-OFDM Systems

2020 ◽  
Author(s):  
Xiao Zhou ◽  
Chengyou Wang ◽  
Qun Wu
Keyword(s):  
Channel Estimation ◽  
Orthogonal Frequency Division Multiplexing ◽  
Estimation Method ◽  
High Order ◽  
Frequency Division Multiplexing ◽  
Frequency Division ◽  
Ofdm System ◽  
Input Multiple Output ◽  
Mimo Ofdm ◽  
Single Input

Abstract For improving the communication system performance in multiple input multiple output- orthogonal frequency division multiplexing (MIMO-OFDM) system, single input multiple output-orthogonal frequency division multiplexing (SIMO-OFDM) system, single input single output-orthogonal frequency division multiplexing (SISO-OFDM) system, this paper introduces a pilot assisted channel estimation method. The proposed method is a combination of pilots and channel estimation based on known channel state information (CSI). First, the pilots are used to maintain the orthogonality characteristics of space time block coding (STBC). By designing the interference-free pilots we estimating the channel, and then with the pre-estimated channel characteristics data is decoded at the MIMO-OFDM system receiver. In this paper, we proposed four kinds of comb-type pilot sequences with interference-free pilots designing among consecutive subcarriers. The proposed pilot assisted channel estimation method in MIMO/SIMO/SISO-OFDM systems could be well adopted with different low and high order modulations. This flexible transmission mechanism can save pilot overhead and has strong anti-interference ability in dynamic channels. Moreover, high-order constellation modulation level will enhance the channel capacity in MIMO/SIMO/SISO-OFDM system. Therefore, it can be used as a candidate technology for 5G or 6G MIMO/SIMO/SISO-OFDM system.

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