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International Conference on Advanced Computing and Communication Systems (ICACCS)

作者： Balakrishnan, C. Poornima, R. KSR Coll Engn Dept ECE Tiruchengode Tamil Nadu India

ISBN: (纸本)9781479935062

Minimum Partial Euclidean Distance (PED) based K best algorithm is proposed. It is based on breath first search methods. The proposed design is independent of the constellation size, number of transmit and receive antenna. The minimum PED based K best detector guarantees a Signal to Noise Ratio (SNR)-independent fixed throughput with a performance close to Maximum Likelihood Detection (MLD) method and reduced Bit Error Rate (BER) with irrespective of constellations. The main innovations are the nodes are expanded and visited based on minimum parent PED rather than exhaustively, as well as it keeps track of symbols selected at each cycle. Being fixed-throughput in nature along with the fact that the breadth first approaches are feed forward detection schemes makes them especially attractive one for VLSI implementation. The simulation is carried out in different stages, in this paper the number of transmit and receive antennas is chosen as 2 and 64 constellations QAM is chosen. The received signal from MIMO transmitter is detected using the minimum PED based K best algorithm, Moreover, the algorithm builds a tree with the children's and identify the best child with minimum PED, the selected child act as an parent node for next cycle and the cycle is repeated until all such children's in a tree are visited.. Finally the scatter plot is plotted for both Rayleigh channel and Additive white Gaussian noise channel (AWGN). The calculation for SNR vs. BER shows the AWGN channel provides the less amount of bit error involved in signal compared to Rayleigh channel scheme with the proposed algorithm.

关键词： Complex-domain detection K-best detectors PED Feed Forward detection multiple input multiple output detector

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Design and FPGA-Implementation of Minimum PED Based K-Best Algorithm in MIMO detector

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Circuits and Systems 2016年第6期7卷 612-621页

作者： Poornima Ramasamy Mahabub Basha Ahmedkhan Mounika Rangasamy Department of ECE K.S.R. College of Engineering Tiruchengode India

Minimum Partial Euclidean Distance (MPED) based K-best algorithm is proposed to detect the best signal for MIMO (multiple input multiple output) detector. It is based on Breadth-first search method. The proposed algorithm is independent of the number of transmitting/receiving antennas and constellation size. It provides a high throughput and reduced Bit Error Rate (BER) with the performance close to Maximum Likelihood Detection (MLD) method. The main innovations are the nodes that are expanded and visited based on MPED algorithm and it keeps track of finally selecting the best candidates at each cycle. It allows its complexity to scale linearly with the modulation order. Using Quadrature Amplitude Modulation (QAM) the complex domain input signals are modulated and are converted into wavelet packets and these packets are transmitted using Additive White Gaussian Noise (AWGN) channel. Then from the number of received signals the best signal is detected using MPED based K-best algorithm. It provides the exact best node solution with reduced complexity. The pipelined VLSI architecture is the best suited for implementation because the expansion and sorting cores are data driven. The proposed method is implemented targeting Xilinx Virtex 5 device for a 4 × 4, 64-QAM system and it achieves throughput of 1.1 Gbps. The results of resource utilization are tabulated and compared with the existing algorithms.

关键词： multiple input multiple output detector K-Best Algorithm Partial Euclidean Distance Quadrature Amplitude Modulation Field Programmable Gate Array

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