Abstract
Space formation aircraft communication system needs to meet strong anti-interference ability, low power consumption and high transmission rate performance. Ultra-wideband (UWB) has high data transfer rate, low device complexity, high interference resistance and confidentiality. Therefore, UWB technology is used in space formation aircraft communication system, which is direct sequence ultra-wideband (DS-UWB) space formation aircraft communication system. This paper, we put forward a multi-user detection (MUD) algorithm based on Gaussian Mixture Model (GMM) in DS-UWB communication system and its field-programmable gate array (FPGA) implementation. We adopt a way which based on MATLAB and FPGA platform, and results show that MUD algorithm based on GMM has better bit error rate (BER) performance compared to classical multi-user detection algorithm.
Highlights
The key of space formation aircraft to achieve the interconnection between the various aircraft in the formation is establishing inter-satellite links (ISL) [1]
We present a field-programmable gate array (FPGA) implementation of the multi-user detection (MUD) detector based on Gaussian Mixture Model (GMM)
When the SNR is low, the bit error rate (BER) performance of the GMM-based multi-user detector is close to DEC multi-user detection and mean square error multi-user detector (MMSE) multi-user detection
Summary
The key of space formation aircraft to achieve the interconnection between the various aircraft in the formation is establishing inter-satellite links (ISL) [1]. As a multi-user system, the space formation aircraft communication system focus on the multiple-access communication technology [2]. The multiple-access interference (MAI) problem which limited the system capacity and performance [6]. Multi-user detection (MUD) [7] is proposed to suppress the impact of MAI and improve the performance in DS-CDMA system. There are many MUD algorithms with excellent performance, such as matched filter detector (MF), optimum multi-user detector (OMD) [8], decorrelation multi-user detector (DEC) [9], minimum mean square error multi-user detector (MMSE) [10] and artificial intelligence algorithms. We present a field-programmable gate array (FPGA) implementation of the MUD detector based on Gaussian Mixture Model (GMM).
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