An Experimental Approach to CDMA and Interference by Luca Fanucci, Marco Luise, Filippo Giannetti, Massimo Rovini

By Luca Fanucci, Marco Luise, Filippo Giannetti, Massimo Rovini

An Experimental method of CDMA and Interference Mitigation was once written with the admittedly bold rationale of filling the distance among communique idea and VLSI implementation, and therefore to supply a extra general/theoretical method of the layout, improvement, and trying out of a CDMA receiver. for that reason, the innovations and strategies which are offered grow to be appropriate to a extra basic type of electronic instant modems by way of receiver structure layout and implementation.
As the reader will simply discover, the topic of electronic modem layout and implementation is addressed within the publication ranging from a theoretical technique (supported by means of right bibliographic references), and is through program matters, with regards to an ESA test assumed as a case research. an entire layout move, from specification to implementation, together with trying out and ultimate verification is then offered. This leads the reader step by step to a radical realizing of CDMA transmission and detection, and constitutes a realistic suggestions for the layout of VLSI instant cellular terminals.

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Additional resources for An Experimental Approach to CDMA and Interference Mitigation: From System Architecture to Hardware Testing through VLSI Design

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Ts L ˜ Tc . 30) L where we have introduced the following operators ^k ` L §k· int ¨ ¸ , k L ©L¹ k mod L . 30), in which the amplitude coefficient A has the same meaning as in Figures 2-1 and 2-2. It can be shown, in fact, that the PSD of the DS/SS signal is given by the convolution between the narrowband PSD of the data and the wideband PSD of the spreading sequence, and that the power of the DS/SS signal is exactly the same as the power Ps of the narrowband signal. ~ dm 1/Ts L Chip Pulse Shaping Filter 1/Tc 1/Tc g (t) (ss) ~ s (t) A T 1/Tc ck Figure 2-5.

Generation of a multiuser S-CDMA signal. 75) are independent, identically distributed, zero mean random variables whose variance is Vb2I Vb2Q E ^bI2,m ` . 74) undergoes correlation (despreading / accumulation) with the signature code of user 1 as follows 1 zk 1 kM  M 1 1 ˜ ¦ y m ˜ c m . 79) i 2 where we have defined the following partial auto- and cross-correlations Fc 1 c 1 k 1 kM  M 1 1 1 ˜ ¦ c ˜c M m kM m L m L Fc i c 1 k 1 kM  M 1 i 1 ˜ ¦ c ˜c . 81) The decision strobe is eventually passed to the final detector which regenerates the transmitted digital data stream of the user 1 (the desired, ‘singing’ user).

92) previously derived for the white Gaussian MAI model. 99) represents the RMS value of the cross-correlation between two L -period maximal length sequences taken over all the possible relative phase shifts. However, it is found that, in spite of their many appealing features, m-sequences are not convenient for CDMA. First, for a given m there exists only a limited number of sequences available for user identification in a CDMA system [Din98]. Also, the cross-correlation properties of m-sequences are not optimal, so they result in significant levels of MAI.

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