An experimental approach to CDMA and interference mitigation by Luca Fanucci; et al

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By Luca Fanucci; et al

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Extra info for An experimental approach to CDMA and interference mitigation : from system architecture to hardware testing through VLSI design

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96) i 2 where Es PT s s represents the average energy at RF per modulation symbol. 97) i 2 By retaining the assumption of a Gaussian distribution of the MAI, which holds true in the case of large spreading factors and large number of users, the BER is now P e § ¨ 1 2 Eb Q ¨¨ ˜ N 2 Eb N0 1  ¦ Rc2 i c 1 ¨ N0 ¨ i 2 © · ¸ ¸. 98) From the expression above we can conclude that in order to limit the detrimental effect of MAI on BER performance the spreading sequences must be chosen so as to exhibit the lowest possible cross-correlation level.

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).

Spectrum spreading is achieved by transmitting the (conven- 28 Chapter 2 tional) narrowband signal into one bin for a given time interval Thop , and then by randomly changing the carrier frequency of the modulator so as to place the signal spectrum in another bin, and so forth. The final result is that the signal spectrum ‘hops’ from bin to bin with an apparently casual pattern to escape hostile jamming and/or eavesdropping by unauthorized listeners. Owing to such a feature, this technique has been named Frequency Hopping Spread Spectrum (FH/SS).

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