In FSO (Free-Space Optical) communications,performance of the communication systems is severely degraded by atmospheric *** (Pulse Position Modulation) is widely used in FSO communication systems owing to its high pow...
详细信息
In FSO (Free-Space Optical) communications,performance of the communication systems is severely degraded by atmospheric *** (Pulse Position Modulation) is widely used in FSO communication systems owing to its high power *** this paper,we present a combination of the BMST (Block Markov Superposition Transmission) technique and the PPM scheme to improve the reliability of the transmission over FSO *** on analyzing an equivalent system,a lower bound on the bit-error-rate of the proposed scheme is *** simulations are performed which show that the BMST-PPM system performs well under a wide range of turbulence conditions and improves the performance of the basic *** results also show that,the performance of the system with the sliding-window detection/decodingalgorithm matches well with the lower bound in the low-error-rate region.
In FSO(Free-Space Optical)communications,performance of the communication systems is severely degraded by atmospheric ***(Pulse Position Modulation)is widely used in FSO communication systems owing to its high power *...
详细信息
In FSO(Free-Space Optical)communications,performance of the communication systems is severely degraded by atmospheric ***(Pulse Position Modulation)is widely used in FSO communication systems owing to its high power *** this paper,we present a combination of the BMST(Block Markov Superposition Transmission)technique and the PPM scheme to improve the reliability of the transmission over FSO *** on analyzing an equivalent system,a lower bound on the bit-error-rate of the proposed scheme is *** simulations are performed which show that the BMST-PPM system performs well under a wide range of turbulence conditions and improves the performance of the basic *** results also show that,the performance of the system with the sliding-window detection/decodingalgorithm matches well with the lower bound in the low-error-rate region.
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