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Low-level recursion minimum mean-square error evaluation of MIMO-OFDM channel

A technology of minimum mean square error and recursive least squares, applied in the direction of baseband system components, etc., can solve problems such as low complexity, achieve high estimation accuracy, good applicability, and easy implementation

Inactive Publication Date: 2008-07-16
SHANGHAI NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies in the existing channel estimation technology, and provide a recursive channel estimation method with high precision and low complexity when any statistical characteristics of channel noise and interference are unknown in a MIMO-OFDM system

Method used

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  • Low-level recursion minimum mean-square error evaluation of MIMO-OFDM channel
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  • Low-level recursion minimum mean-square error evaluation of MIMO-OFDM channel

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Embodiment 1

[0036] This embodiment is based on the above-mentioned multipath Rayleigh channel model. First, it is assumed that the channel state is quasi-static, that is, the channel state does not change during the transmission of a data packet, but changes in different data packets. In the above multipath channel model, the complex amplitude P 1 ,P 2 ,P 3 It is randomly generated when each data packet is sent, and an exponential delay power spectrum is used at each delay point. After obtaining the responses of 256 pilot points, the finite impulse response of 128 complex channels is estimated by recursive least squares, and then the subspace tracking of the MIMO channel is carried out to determine the order of the system, and the autocorrelation matrix is ​​obtained to complete Low-order recursive minimum mean square error estimation to obtain channel state information. The channel state information is used to perform equalization at the two receiving antennas respectively, and then ...

Embodiment 2

[0039] This embodiment is based on the 3GPP spatial channel model. Compared with the above-mentioned multipath Rayleigh channel model, this channel model is a fast-fading channel model. Therefore, this embodiment can verify the performance of the present invention under fast fading channel conditions. The specific implementation process of this embodiment is the same as that of Embodiment 1. The MSE performance curve under the 3GPP spatial channel model shown in accompanying drawing 6 and the BER performance comparison simulation curve of the MIMO-OFDM system shown in accompanying drawing 7 show that under the 3GPP spatial channel model condition, the present invention can still obtain good mean square error (MSE) performance and bit error rate (BER) performance, the improvement of bit error rate performance is 0.1~5dB higher than the recursive least squares estimation method, shows that the algorithm of the present invention can better track channel changes, is a more flexib...

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Abstract

The invention discloses a low-order recurrence least mean square error estimation for an MIMO-OPDM channel, which relates to the wireless transmission technical field. After a pilot frequency is used to insert in to obtain a recurrence least square estimation of a time-varying channel fading, the channel fading is decomposed into a signal subspace and a noise subspace by adopting a subspace tracking method of being capable of tracking singular values and singular vectors under the non-stationary complicated noise, then an order-reduction is made according to the quantity of main singular values to obtain an auto-correlation matrix of the channel fading, and a least mean square error estimation with higher precision is obtained through the recurrence. The invention has the characteristics of having computation complexity of decreasing algorithm, higher estimation accuracy as well as good robustness and applicability, and being capable of providing channel estimation and self-adaptive equalization proposals of systems such as third generation (3G) cell mobile communication, beyond third generation (B3G) cell mobile communication, fourth generation (4G) cell mobile communication and digital TVs, wireless local area networks (WLAN), wireless wide area networks (WWAN) and so on, with an important theoretical evidence and a concrete realization method and so on.

Description

technical field [0001] The present invention relates to a channel state information acquisition method in the field of wireless communication, specifically a low-order recursive minimum mean square error of a MIMO-OFDM channel when the wireless channel noise is complex and unknown, which improves estimation accuracy and reduces calculation complexity. Estimation method. Background technique [0002] Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) is the preferred technology for transmitting high-speed data in broadband wireless communication. It divides the broadband channel transmission into a number of flat-fading narrowband channels through OFDM technology, making the equalizer at the receiving end simpler; at the same time, it also uses multiple antennas at the transmitter and receiver Multiple-input multiple-output technology provides link reliability through space diversity and multiplexing. [0003] Obtaining channel state infor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/02
Inventor 张静
Owner SHANGHAI NORMAL UNIVERSITY
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