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RUMSWF based low-complexity reduced rank balancing method in MIMO system

A low-complexity, balanced-method technology, applied in diversity/multi-antenna systems, space transmit diversity, and error prevention/detection through diversity reception, which can solve problems such as high complexity and slow convergence

Inactive Publication Date: 2009-09-16
XI AN JIAOTONG UNIV
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Problems solved by technology

[0009] The purpose of the present invention is to overcome the disadvantages of high complexity and slow convergence speed of traditional equalization methods, and provide a low-complexity reduction-rank equalization method based on RUMSWF in MIMO systems

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  • RUMSWF based low-complexity reduced rank balancing method in MIMO system
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  • RUMSWF based low-complexity reduced rank balancing method in MIMO system

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Embodiment Construction

[0039] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0040] see figure 1 , the system model of the adaptive linear equalizer in the MIMO system is given first. For a frequency-selective MIMO system with M transmit antennas and N receive antennas, assuming the channel order is L, the channel impulse response can be expressed as:

[0041] H = Σ l = 0 L - 1 H l δ ( i - l )

[0042] where H l is N×M dimension, and is the channel fading coefficient matrix corresponding to the lth delay path. If the transmit signal vector s(k) at time k is an independent and identically distributed M-dimensional vector s(k)=[s 1 (k),...,s M (k)] T...

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Abstract

The invention provides a RUMSWF based low-complexity reduced rank balancing method in an MIMO system, which is improved from an MSWF based self-adapting reduced rank linear balancing method and is a reduced rank self-adapting MIMO linear balancing method which realizes a multilevel Weiner filter based on a rectangular block matrix and by a related subtraction structure. By improving the block matrix of the unitary multilevel Weiner filter, a rectangular matrix block of the square block matrix is selected as the block matrix, and the number of dimension of a received signal is reduced step by step in the forward recursive decomposition of the unitary multilevel Weiner filter, thereby reducing the iteration complexity of the self-adapting balancing and simultaneously increasing the convergence rate. The theoretical analysis and simulation result show that the low-complexity quick reduced rank self-adapting balancing method has the advantages of low complexity and quick convergence rate. In a V-BLAST system provided with 4 transmitting antennas and 8 receiving antennas and adopting the BPSK modulation, by only utilizing one half of complexity of the multilevel Weiner filter based balancing method, the error code performance which is only 0.78 dB lower than that of the multilevel Weiner filter based balancing method can be achieved.

Description

technical field [0001] The invention belongs to a channel equalization method in a MIMO system in the technical field of wireless communication, and in particular relates to a low-complexity rank reduction equalization method based on RUMSWF (Rectangle Unitary Multistage Wiener Filter). Background technique [0002] In the past few decades, communication technology has been rapidly developed and widely used, which has greatly promoted the development of social economy and changed people's way of life. With the development of society and the improvement of people's material life and spiritual life, people's demand for the capacity of wireless communication systems is increasing day by day. A traditional wireless communication system employs a single transmit antenna and a single receive antenna, called a single-input single-output (SISO) system. The SISO system has an unbreakable bottleneck in the channel capacity—Shannon capacity limitation, which can no longer meet the cap...

Claims

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Application Information

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IPC IPC(8): H04L1/06H04B7/06
Inventor 任品毅汪瑞吴广恩魏莉王熠晨尹稳山付瑞君
Owner XI AN JIAOTONG UNIV
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