Optimal Power Allocation Between Beam Tracking and Symbol Detection Channels in a Free-Space Optical Communications Receiver

Abstract

Free-space optical (FSO) communications will play an important role in the backhaul of future generation of wireless networks in order to support high data rates. Because of narrow beamwidth inherent to an optical signal, acquisition and tracking form an important component of any FSO communication system. In this study, we have analyzed the optimization of received power allocation between tracking and data channels in an FSO receiver.The objective function that is optimized (minimized) are the probability of error and the probability of outage, and the optimization of power allocation is carried out as a function of parameters such as noise power, pointing error variance, pointing error correlation coefficient, and the threshold of outage. We have analyzed the optimization

Average irradiance of Hermite–Gaussian beam under pointing error in atmospheric turbulence

“…Equation (16) cannot be calculated by polar integration because the average irradiance profile of the HG beam is not necessarily centrosymmetric. Consequently, the integration area is approximately transformed from a circle to a square with the same area; 30 – 32 the side length of the square receiving aperture is Dπ/2. Equation (16) can be approximately integrated as follows: P(D)≈∫−πD/4πD/4∫−πD/4πD/4⟨Imn(x,y,L)⟩PEdx dy.…”

Optical Wireless Communications: Illuminating the Path for Cooper's Law

“…In order to achieve beaconless transmission, a single, data-carrying, beam is transmitted to the receiver where the tracking information is extracted from the same beam. At the receiver, the beam energy is divided optimally between the beam tracking and data detection channels to maximize the error performance of the receiver [309]. To reduce the computational complexity of the tracking subsystems further, photon-counting detector arrays-based on the closed-loop data-aided tracking principle-that act as both tracking and symbol detection devices are discussed in [310]- [313].…”

A Multipath Approach to Self-Interference Cancellation in MIMO Rayleigh Fading Channels

“…However, there are several factors that may negatively impact the cancellation performance of the proposed system, including signal scattering [20], power fading [21], exposure to radiation [22], and range limitations. To improve performance, precompensation and post-compensation techniques, frequency down conversion mechanisms, and DSP-based algorithmic computations can be implemented [23].…”