Adaptive equalization method suitable for scatter communication

Abstract

The invention discloses an adaptive equalization method suitable for scatter communication in the field of communication. On the premise that the complexity of the system is not increased, a linear equalizer and a nonlinear equalizer are realized by utilizing the structure of a decision feedback equalizer in combination with a channel estimation result, and compared with a scattering system adopting linear equalization, the communication capability of the system under a deep fading channel is improved; compared with a scattering system adopting decision feedback nonlinear equalization, error code diffusion under a low signal-to-noise ratio is avoided, and the communication capability under a non-deep fading channel is improved.

Description

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AI Technical Summary

Benefits of technology

The present invent describes an adaptation technique called Adapted Equalized Interference (AEI) which can be used on wireless networks like Wireless LAN or Bluetooth signals. It allows for better transmission performance even at high speeds by selecting appropriate algorithms based upon estimated channels from previous measurements. This approach reduces interference between different types of data streams while still maintaining good reception quality compared to traditional methods such as Linear Equation Protocol (LPE).

Problems solved by technology

This patented describes various technical problem addressed by this patents relational field related researches: The current design of wireless communications devices (WCD) uses multiple antennas to improve their reception capabilities but also increases interference between them. To address these issues, several techniques like space division multiple access (SDMA), orthogonal frequency division multiplexing (OFDM), code divisional multiplexing (CDMA), etc., were developed overall. However, existing solutions only work effectively when they can handle some specific types of scattered environments without being able to adjust accordingly based upon factors like varying environmental conditions.