with by (5). Another important characterization of the statistical behaviour of the h( interference to noise ratio is the Conditional Cumulative Distribution Function given that the victim satellite is receiving non-zero interference, that is: (10) When expressed in dB, the interference to ratio in (1) is written as: (11) where: denotes the power-spectral density at the SRS antenna input (dB(W/Hz)) Pt: the SRS earth station transmission antenna gain in the direction of the victim Gt(): ISS satellite (dBi) the gain of the jth ISS satellite receiving antenna in the direction of the Gr(j): interfering SRS earth station (dBi). In this case, the unconditional and the conditional cumulative distribution functions of are I/N written as: (12) and (13) with CI/N( ) and CI/N|i≠0( ) given by (9) and (10), respectively. A6-1 SRS to ISS interference geometry Now, let denote the Moon orbital plane inclination with respect to the Earth’s equator. Suppose δ that the cumulative distribution functions in (12) and (13) are calculated for a given value of say δ, δ = Δ. This that: (14) and (15)
with h( by (5). Another important characterization of the statistical behaviour of the interference to noise ratio is the Conditional Cumulative Distribution Function given that the victim satellite is receiving non-zero interference, that is: (10) When expressed in dB, the interference to ratio in (1) is written as: (11) where: Pt: denotes the power-spectral density at the SRS antenna input (dB(W/Hz)) Gt(): the SRS earth station transmission antenna gain in the direction of the victim ISS satellite (dBi) Gr(j): the gain of the jth ISS satellite receiving antenna in the direction of the interfering SRS earth station (dBi). In this case, the unconditional and the conditional cumulative distribution functions of I/N are written as: (12) and (13) with CI/N( ) and CI/N|i≠0( ) given by (9) and (10), respectively. A6-1 SRS to ISS interference geometry Now, let δ denote the Moon orbital plane inclination with respect to the Earth’s equator. Suppose that the cumulative distribution functions in (12) and (13) are calculated for a given value of δ, say δ = Δ. This that: (14) and (15)
R-REP-SA.2192-2010-MSW-E.docx