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Mission Design for the CubeSat OUFTI-1

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CHAPTER 10to reach <strong>the</strong> receiver passing through <strong>the</strong> free space. The losses on this way arecalled space loss:L s [W ] =Sλ( )RIP [W ]22EIRP [W ] = 4π λ4πSd = =2 4πd( ) 2 c(10.4)4πdfwhere RIP is <strong>the</strong> Received Isotropic Power, λ <strong>the</strong> wavelength and S <strong>the</strong>power per unit area at distance d.Passing in decibel, we have:L s [dBW ] = 20log (c) − 20log (4π) − 20log (d) − 20log (f) == 147.55 − 20log (d) − 20log (f)(10.5)The space loss contains <strong>the</strong> hypo<strong>the</strong>sis of free-space propagation: in reality,<strong>the</strong> signal pass through <strong>the</strong> atmosphere and we would have <strong>the</strong>re<strong>for</strong>e to take intoaccount <strong>the</strong> attenuation due to atmosphere and rain. As <strong>the</strong>se attenuations areimportant only <strong>for</strong> high frequency wave (mainly in <strong>the</strong> SHF band and higher),<strong>the</strong>y are practically are null in our case.Once <strong>the</strong> signal is received by <strong>the</strong> receiving antenna, its gain G R should beadded.In digital communications, <strong>the</strong> received energy-per-bit E b is equal to <strong>the</strong> receivedpower times <strong>the</strong> bit duration:E b = P R − 10log(R) (10.6)where P R = RIP + G R is <strong>the</strong> received power and R <strong>the</strong> data rate.The noise spectral density, N 0 , can be expressed as:N 0 = 10log(k) + 10log(T s) (10.7)where k = 1.38 · 10 −23 is <strong>the</strong> Boltzmann’s constant and T s <strong>the</strong> system noisetemperature.Hence, <strong>the</strong> total received noise is:where B is <strong>the</strong> bandwidth.N = N 0 + 10log(B) (10.8)Using <strong>the</strong> above mentioned equations, we can obtain <strong>the</strong> parameters we werelooking <strong>for</strong>:• <strong>the</strong> radio of received energy-per-bit to noise-densityE bN 0= EIRP + L s + G R − 10log(k) − 10log(T s) − 10log(R) (10.9)Galli Stefania 100 University of Liège

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