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OMP sparse channel estimation method based on compressive sensing in visible light communication

A visible light communication and compressed sensing technology, applied in the field of visible light communication, can solve the problem of low utilization rate of spectrum resources, and achieve the effects of reducing the number of pilots, improving throughput, and high accuracy

Active Publication Date: 2019-07-12
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

[0003] Traditional linear channel estimation methods, such as LS and LMMSE algorithms, all assume that the wireless channel is densely multipathed, so a large number of pilot signals are required to obtain accurate channel state information, resulting in low utilization of system spectrum resources

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  • OMP sparse channel estimation method based on compressive sensing in visible light communication
  • OMP sparse channel estimation method based on compressive sensing in visible light communication
  • OMP sparse channel estimation method based on compressive sensing in visible light communication

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Embodiment Construction

[0035] 1. Analysis of technical problems

[0036] The three key technologies of compressed sensing are: sparse representation of signal, design of observation matrix and reconstruction algorithm of compressed sensing. Since the greedy iterative algorithm has the advantages of simple calculation, easy implementation and fast reconstruction speed, the present invention applies the OMP algorithm in the greedy iterative algorithm to the channel estimation technology of the visible light DCO-OFDM communication system.

[0037] like figure 1 As shown, the system model is designed according to the DCO-OFDM system, figure 2 It is the basic block diagram of the VLC baseband system transmitter. The information received from the MAC layer reaches the baseband processing part of the FPGA through the network port module, and performs operations such as scrambling, channel coding, interleaving, constellation mapping, IFFT transformation, and CP addition on the Ethernet frame data to obta...

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Abstract

The invention discloses an OMP (Orthogonal Matching Pursuit) sparse channel estimation method based on compressed sensing in visible light communication. According to the invention, a compressed sensing technology is adopted, the number of sampling points required by performing sampling on sparse signals is significantly reduced, the utilization efficiency of data is substantially improved, and then signal reconstruction is performed by adopting a greedy iteration based orthogonal matching pursuit (OMP) algorithm. The OMP sparse channel estimation method can reduce the pilot overhead in channel estimation.

Description

technical field [0001] The present invention relates to visible light communication, in particular to an OMP sparse channel estimation method based on compressed sensing in visible light DCO-OFDM communication. Background technique [0002] The application of Orthogonal frequency division multiplexing (OFDM) in a communication system can effectively resist Inter-symbol interference (ISI). At the same time, inter-carrier interference (Inter Carrier Interference, ICI) can be further eliminated by inserting a cyclic prefix (Cyclic Prefix, CP) between symbols. Therefore, the application of OFDM technology in the VLC system can effectively resist ISI and ICI, and at the same time improve the spectrum utilization rate of the system. In the VLC system, the direct detection of intensity modulation is used, and the signal is transmitted with light intensity as the carrier. The modulation method used in this system is DCO-OFDM (Direct Current Optical-OFDM). [0003] Traditional line...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L25/02
CPCH04L25/0204H04L25/022H04L25/0224H04L25/0242
Inventor 蒋良成焦晶晶陈明
Owner SOUTHEAST UNIV