A Joint Channel Estimation and Symbol Detection Method Based on Orthogonal Time-Frequency-Space
A joint channel estimation and channel estimation technology, applied in the field of joint channel estimation and symbol detection, can solve the problems of low system performance and high computational complexity, and achieve the effect of improving system performance and system performance
Active Publication Date: 2022-07-08
BEIJING UNIV OF POSTS & TELECOMM
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Although the linear signal equalization scheme reduces the computational complexity, it also has the disadvantage of low system performance
Nonlinear signal detection schemes use the relationship between the transceiver and the optimal solution through iterative thinking, including message passing, variational Bayesian, and feedback equalization. These schemes greatly improve system performance, but iterative Its computational complexity is also very high
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[0047] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The method of the present invention comprises the following steps:
[0048] Step 1, pilot symbol placement: establish a mathematical model according to the relationship between the input and output of the MIMO-OTFS system, convert the channel estimation into sparse signal reconstruction by analyzing the mathematical model, and place a small number of pilots in the delay-Doppler domain. The frequency symbols are used for channel parameter estimation at the receiving end, and the receiving end of the MIMO-OTFS system is figure 1 shown, where the number of transmit and receive antennas is N t =N r =N a , first, the input bits are first encoded, interleaved, and modulated and mapped by quadrature phase shift keying (QPSK) to obtain time-delay-Doppler domain symbols. According to the relationship between input and output, the pilot symbol placement patte...
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The invention discloses a method for joint channel estimation and symbol detection based on orthogonal time-frequency space. The mathematical model converts the channel estimation problem into a sparse signal reconstruction problem; step 2, channel estimation, at the receiving end, the signal is preprocessed to obtain the delay-Doppler domain symbols; step 3, symbol detection, at the receiving end, Carry out symbol detection according to the channel parameters obtained in the channel estimation step; step 4, iterative feedback, the superior effect of the present invention is: based on the idea of iterative joint, a joint channel estimation and symbol under the multi-input multi-output orthogonal time-frequency space system is proposed. The detection method can improve the system performance through continuous feedback iteration, re-detect the symbol index set that is lower than the threshold probability, and form a joint iterative detection of signal detection and channel estimation to improve the system performance.
Description
technical field [0001] The invention belongs to the technical field of wireless communication in high mobility scenarios, and in particular relates to a joint channel estimation and symbol detection method based on a Multiple Input Multiple Output Orthogonal Time-Frequency Space (MIMO-OTFS) modulation system. Background technique [0002] At present, the modulation method adopted by the existing 5G communication technology is the Orthogonal Frequency Division Multiplexing (OFDM) scheme, which is very sensitive to frequency offset, and high-speed motion will generate a high Doppler frequency shift, which will cause carrier waves. Inter-Carrier Interference (ICI), so that the orthogonality between sub-carriers is destroyed, so the system performance is greatly reduced. In recent years, Ronny Hadani et al. proposed an Orthogonal Time-Frequency-Space (OTFS) modulation scheme, which has significant performance advantages over OFDM in dual-selective fading channels, especially in ...
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IPC IPC(8): H04L25/02
CPCH04L25/0204H04L25/0224Y02D30/70
Inventor 郭文彬赵磊王文博刘瑞芳
Owner BEIJING UNIV OF POSTS & TELECOMM