Abstract
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.
Highlights
Today MIMO system is one of the wireless communication technologies which provide increased data throughput and link range without any additional bandwidth
All the results presented on system performance were first tested in Matlab and translated into hardware blocks in Simulink using Xilinx System Generator (SysGen)
The proposed Minimum Partial Euclidean Distance (MPED) based K-best algorithm scheme is diagrammatically represented in Figure 2 for level l which includes the modulation order M = 64, so the total number of levels are given by M = 8, and the K = 8
Summary
Today MIMO system is one of the wireless communication technologies which provide increased data throughput and link range without any additional bandwidth. (2016) Design and FPGA-Implementation of Minimum PED Based K-Best Algorithm in MIMO Detector. Several MIMO detection algorithms have been proposed to address this challenge, which offers various tradeoffs between the performance and the computational complexity. In Depth-first search algorithm the tree is traversed in both forward and backward direction with variable throughput which results in extra overhead in hardware. In Breadth-first search algorithm [4] the tree is traversed only in the forward direction with fixed throughput. To reduce the computational complexity in K-best algorithm, a MPED based K-best algorithm is designed and implemented on FPGA board (a reduced complexity systems), which making a significant reduction in the over-all hardware/software complexity of the system. An efficient VLSI implementation is the key to enable real-time wireless communication
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