MIMO Channel Estimation Using Golay Code Correlation
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Solution Overview
Problem
Current IEEE 802.11ad standard is designed for single-input single-output (SISO) systems and lacks an efficient channel estimation method for multiple-input multiple-output (MIMO) systems, which is necessary for pre-5G or post-11ad communication systems.
Innovation Solution
A method and apparatus for channel estimation in communication systems using characteristics of correlation of channel estimation codes, specifically determining and generating channel estimation codes based on codes like Golay and Zadoff-Chu codes, and antenna identification schemes, to efficiently estimate channels in MIMO systems by transmitting and receiving these codes through multiple antennas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If IEEE 802.11ad standard is used for channel estimation, then channel estimation can be performed in SISO systems, but it cannot efficiently handle MIMO systems with multiple antennas
Solution Approach 1:
The patent extends the channel estimation method to be universally applicable to both SISO and MIMO systems by using the same Golay code-based approach. The receiver can estimate channels for multiple transmit antennas by receiving channel estimation codes transmitted through different antennas, making the system adaptable to various MIMO configurations without requiring completely new estimation algorithms.
Solution Approach 2:
The patent segments the channel estimation process into separate estimates for each transmit antenna by transmitting different channel estimation codes through different antennas. The receiver then combines these separate estimates to obtain the complete channel state information for the MIMO system, allowing complex multi-antenna channel estimation to be broken down into manageable single-antenna estimation tasks.
2Measurement precision
If multiple channel estimation codes are transmitted through multiple antennas, then channel estimation performance improves, but interference between codes increases
Solution Approach 1:
The patent converts the potential harmful interference between multiple channel estimation codes into a beneficial feature by using the complementary properties of Golay codes. The cross-correlation between different Golay codes provides a known pattern that the receiver can use to distinguish between codes from different antennas, transforming what would be interference into a useful identification signal for accurate channel estimation.
Solution Approach 2:
The patent changes the code parameters by using different Golay code sequences for different transmit antennas. By varying the code parameters (specifically which Golay code sequence is used), the system creates distinguishable signals that maintain low cross-correlation, allowing the receiver to accurately identify and separate the channel estimation codes from different antennas despite transmitting multiple codes simultaneously.
3Measurement precision
If Golay codes are used for channel estimation, then correlation characteristics enable accurate estimation, but code generation and transmission complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-generating and storing the Golay code sequences and their correlation characteristics in the transmitter and receiver before actual channel estimation takes place. The transmitter has pre-configured with the Golay code mappings for different antennas, and the receiver has pre-computed the correlation patterns, eliminating the need for complex real-time code generation and correlation calculation during the channel estimation process.
Data Source
AI summary
Disclosed are: a communication technique for fusing, with IoT technology, a 5G communication system for supporting a data transmission rate higher than that of a 4G communication system; and a system therefor. The communication technique can be applied, on the basis of 5G communication technology and IoT-related technology, to intelligent services (for example, smart home, smart building, smart city, smart car or connected car, health care, digital education, retail, security and safety-related services, and the like). A method for estimating a channel in a communication system, according to one embodiment of the present invention, comprises the steps of: confirming a code and antenna distinguishing scheme used in channel estimation; generating a channel estimation code on the basis of the confirmed code and antenna distinguishing scheme; and transmitting the generated channel estimation code through a plurality of transmission antennas.