基于 FPGA 的智能天线快速自适应波束算法研究与实现
ABSTRACT
Mobile communication technology has made a rapid development in the past few
decades.Among them, smart antenna technology is an important breakthrough in the
development of mobile communication system and has becomes the key technology of
mobile communication. This article first introduced the smart antenna technology
development and related principles in details, then study the content of smart antenna design
theory in depth.
The core content of smart antenna technology is the adaptive beamforming algorithm.
Based on the theory of space-time correspondence, apply the promotion algorithm of LMS
algorithm-DLMS algorithm and PIPLMS algorithm, which are used in the time domain filter
and suitable for hardware implementation, to spatial filtering theory.Then introduced the
principle of how it improves the adaptive array antenna operation speed in details. The
computer simulation results show that the DLMS and PIPLMS adaptive beamforming
algorithm when are applied to the space domain, as well as LMS, can realize the adaptive
beamforming performance and automatically track the change of the desired signal and
suppress jamming signal. It reaches the role of adaptive space filtering.
In this paper, combined with modern DSP technology, using the professional FPGA
digital signal processing software DSP Builder, combined with a variety of other EDA tools,
finished the 4 cells’ array antenna and 8 cells’ array antenna based on LMS algorithm.
PIPLMS algorithm and DLMS algorithm proposed in time domain was applied in the spatial
adaptive filter, the design completed the DLMS, PIPLMS algorithm based on FPGA
technology in spatial adaptive filter system. The system model simulation results in the
MATLAB/Simulink Modelsim show that the designed system has good filtering performance
for both high frequency signals and low frequency signals. In addition, the Modelsim
simulation results and MATLAB/Simulink simulation results are basically identical, illustrates
the correctness of the generated VHDL language through conversion. It instructions DLMS
algorithm and PIPLMS algorithm, etc, applied to spatial adaptive filter theory are successful
and effective.
In this paper, using the Quartus|| software analyzed the adaptive spatial filtering systems
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