View source for Sinusoidal Binary Offset Carrier (SOC) Signals

{{Article Infobox2
|Category=Fundamentals
|Title={{PAGENAME}}
|Authors= J.A Ávila Rodríguez, University FAF Munich, Germany.
|Level=Advanced
|YearOfPublication=2011
}}
To derive the spectrum of the SOC signals, the most convenient is to use the convolution theorem. According to it, the Fourier transform of the chip waveform can be expressed in terms of a convolution between the modulating carrier and the code bit. The problem reduces then to calculating the Fourier transforms for each signal as shown in [J. Winkel, 2002] <ref name= "WIK_2002"> [J. Winkel, 2002] J. Winkel, Modeling and Simulating Generic GNSS Signal Structures and Receiver in a Multipath Environment, Ph.D. Thesis, University FAF Munich, Neubiberg, Germany.</ref>. In fact:

::[[File:SOC_Eq_1.png|none|640px]]


which can be further simplified as follows, assuming that the code is ideal:

::[[File:SOC_Eq_2.png|none|580px]]



Therefore, the power spectral density adopts the following form:

::[[File:SOC_Eq_3.png|none|580px]]


It is interesting to note also that the same distinction between even and odd SOCs can also be made here as with the rectangular signals that we have already studied. Furthermore, the maximum of the spectrum is not located at <math>f = n f_c</math> as one might expect, but somewhere close to that point as shown in [J. Winkel, 2002] <ref name= "WIK_2002"/>. Finally, the autocorrelation function of the SOC signal for the sine-phased case is shown to be [J. Winkel, 2002] <ref name= "WIK_2002"/>:

::[[File:SOC_Eq_4.png|none|780px]]
	

where <math> \Lambda \left ( \tau \right )</math> is the triangular function and <math> \Theta \left ( \tau \right )</math>  represents the Heaviside step function. As we know the triangular function is defined as follows:

::[[File:SOC_Eq_5.png|none|320px]]


and the Heaviside step function is equally shown to be defined as:

::[[File:SOC_Eq_6.png|none|320px]]


==References==
<references/>


[[Category:Fundamentals]]
[[Category:GNSS Signals]]