By Kai Borre, Dennis M. Akos, Nicolaj Bertelsen, Peter Rinder, Søren Holdt Jensen
This e-book discover using new applied sciences within the quarter of satellite tv for pc navigation receivers. so as to construct a reconfigurable receiver with a variety of purposes, the authors talk about receiver structure in accordance with software-defined radio options. The presentation unfolds in a undemanding variety and is going from the fundamentals to state of the art examine. The booklet is geared toward utilized mathematicians, electric engineers, geodesists, and graduate scholars. it can be used as a textbook in a variety of GPS know-how and sign processing classes, or as a self-study reference for somebody operating with satellite tv for pc navigation receivers.
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Extra resources for A Software-Defined GPS and Galileo Receiver: A Single-Frequency Approach
These two parameters provide freedom to concentrate signal power within speciﬁc parts of the allocated band to reduce interference with the reception of other signals. Furthermore, the redundancy in the upper and lower sidebands of BOC modulations offers practical advantages in receiver processing for signal acquisition, code tracking, carrier tracking, and data demodulation; see Betz (2002). Most Galileo signals come in pairs: a data signal and a data-free signal. They are aligned in phase and consequently have the same Doppler frequency.
9 shows a block diagram of a system characterized by a function f and with input signal x(t) and output signal y(t). 17), we can classify systems as follows: Linear and nonlinear systems A system is said to be linear if superposition applies. That is, if y1 (t) = f x 1 (t) and y2 (t) = f x 2 (t) , then a1 y1 (t) + a2 y2 (t) = f a1 x 1 (t) + a2 x 2 (t) . A system in which superposition does not apply is termed a nonlinear system. Time-invariant and time-varying systems A system is said to be be time-invariant if a time shift in the input results in a corresponding time shift in the output.
9 the most signiﬁcant bit is placed left, the less signiﬁcant bit is placed to the right, the most signiﬁcant items at the top, and the less signiﬁcant items at the bottom. 2 Cyclic Redundancy Check The CRC algorithm accepts a binary data frame, corresponding to a polynomial M, and appends a checksum of r bits, corresponding to a polynomial C. 9. Ordering principle for data. The concatenation of the input frame and the checksum then corresponds to the polynomial T = M x r + C since multiplying by x r corresponds to shifting the input frame r bits to the left.