Download A Software-Defined GPS and Galileo Receiver: A by Kai Borre, Dennis M. Akos, Nicolaj Bertelsen, Peter Rinder, PDF

By Kai Borre, Dennis M. Akos, Nicolaj Bertelsen, Peter Rinder, Søren Holdt Jensen

This publication discover using new applied sciences within the zone 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 line with software-defined radio thoughts. The presentation unfolds in a straight forward kind and is going from the fundamentals to state of the art study. The booklet is aimed toward utilized mathematicians, electric engineers, geodesists, and graduate scholars. it can be used as a textbook in numerous GPS know-how and sign processing classes, or as a self-study reference for an individual operating with satellite tv for pc navigation receivers.

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3. 023 MHz, and n stands for the ratio between the code rate and f 0 . 115 MHz code rate. The result of the subcarrier modulation is to split the classical BPSK spectrum in two symmetrical components with no remaining power on carrier frequency; see Martin et al. (2003). 4. We concentrate on BOC(m, n) = BOC(1, 1) as this is likely to be used by the L1 signal transmitted by Galileo. The ACF of BOC signals has a profile with more peaks that may be tracked. For BOC signals it is important to make sure the channel is tracking the main peak of the correlation pattern.

6. 18 2. 1. Generation of GPS signals at the satellites. Spreading sequence Each satellite has two unique spreading sequences or codes. The first one is the coarse acquisition code (C/A), and the other one is the encrypted precision code (P(Y)). The C/A code is a sequence of 1023 chips. (A chip corresponds to a bit. 023 MHz. 23 MHz. It repeats itself each week starting at the beginning of the GPS week which is at Saturday/Sunday midnight. The C/A code is only modulated onto the L1 carrier while the P(Y) code is modulated onto both the L1 and the L2 carrier.

12 1. 10. Simple linear system with input–output relation y(n) = x(n)+a1 x(n−1)+ a2 x(n − 2). 4 Linear Time-Invariant Systems Let us first consider a continuous-time, linear, time-invariant (LTI) system characterized by an impulse response h(t), which is defined to be the response y(t) from the LTI system to a unit impulse δ(t). That is, h(t) ≡ y(t) x(t) = δ(t). when The response to the input x(t) is found by convolving x(t) with h(t) in the time domain: ∞ y(t) = x(t) ∗ h(t) = −∞ h(λ)x(t − λ)dλ. 19) Convolution is denoted by the ∗.

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