Development of 4×4 MIMO-QPSK demodulator using complexity-reduced MLD with block QR decomposition

Fumito, Ito; Nakagawa, Takayuki; Hamazumi, Hiroyuki; Fukawa, Kazuhiko

doi:10.1109/bmsb.2016.7521928

Cited by 7 publications

(2 citation statements)

References 3 publications

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“…Kỹ thuật giải mã Zero-Forcing (ZF) [2] và Minimum Mean Square Error (MMSE) [3] cung cấp giải pháp tính toán đơn giản, tuy nhiên tỉ lệ lỗi bit (Bit Error Rate -BER) tại đầu thu ở mức chấp nhận tương đối. Để tối ưu BER tại đầu thu, kỹ thuật giải mã Maximum Likelihood Decoder (MLD) được sử dụng [4]. Kỹ thuật MLD được thực hiện bởi hai bước -Bước 1: Tìm khoảng cách từ dữ liệu thu đến các điểm chòm sao; Bước 2: Tìm khoảng cách nhỏ nhất để xác định điểm chòm sao tương ứng chính là dữ liệu mong muốn.…”

Section: Giới Thiệuunclassified

Tối Ưu Hiện Thực Thuật Toán Giải Mã Tín Hiệu Mimo Cho Hệ Thống Wlan 802.11 Ac

Khai¹,

Mạnh²,

Tiến³

2017

Fair - Nghiên Cứu Cơ Bản Và Ứng Dụng Công Nghệ Thông Tin - 2017

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In this paper, a low computational complexity Orthogonal frequency-division multiplexing Multiple Input -MultipleOutput (OFDM -MIMO) decoder for the 802.11ac Wireless Local Area Network (WLAN) is addressed. To reduce the computational complexity of the conventional K-Best algorithm, the combination of two new approaches to determine the K-best nodes are introduced. The first approach is the constellation I-Q plane based sorting method to sort one-dimension vector in ascending order. The second one is the table based sorting method to sort a two dimension -vector in ascending order. By simulation results, the Bit Error Rate (BER) performance of our proposed approaches is only degraded 0.5 dB compared with that of the conventional K-Best algorithm, but our proposal helps to reduce up to 90% of the computational complexity in term of sorting method.

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Section: Giới Thiệuunclassified

Tối Ưu Hiện Thực Thuật Toán Giải Mã Tín Hiệu Mimo Cho Hệ Thống Wlan 802.11 Ac

Khai¹,

Mạnh²,

Tiến³

2017

Fair - Nghiên Cứu Cơ Bản Và Ứng Dụng Công Nghệ Thông Tin - 2017

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“…The number of transmitter and receiver antennas utilized in the spatial multiplexing technique can improve the throughput of any system exponentially [14]. The various combinations of data streams are transmitted by the transmitter antenna, and these bits are received as a linear function of data by the destination antennas [15]. When the presence of scattering is high enough to decode the number of signals received from distinct types of sending antennas, the matrix function of a wireless channel is reversed [16].…”

Section: Introductionmentioning

confidence: 99%

Incredible VLSI Design for MIMO System Using SEC-QPSK Detection

L.Vasanth¹,

Muniraj²

2022

Intelligent Automation &Amp; Soft Computing

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Multiple Input Multiple Output (MIMO) is an advanced communication technology that is often used for secure data transfer for military and other applications while transmitting data with high error and noise. To address this issue, a step-by-step hybrid Quadrature Phase Shift Keying (QPSK) modulation scheme in the MIMO system for a complex Very Large-Scale Integration (VLSI) format is recommended. When compared to Binary Phase Shift Keying (BPSK), this approach provides twice the data rate while using half the bandwidth. The complexity is lowered through multiplication and addition, as well as error and noise reduction in data transport, and MIMO detection is accomplished through the combination of two techniques, Inverse Fast Fourier Transform (IFFT) and Stepwise Exponential Companding (SEC). IFFT converts frequency to the time domain, reducing complexity by 23.56 percent in multiplication and an extra 34.05 percent. Likewise, hierarchical high-speed mixing decreases difficult limits by 13% and the addition problem by 25%. This technological outcome results in a decreased Signal-to-Noise Ratio (SNR) and Bit Error Rate (BER).

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