Computer-aided design of a BPSK spread-spectrum chip set

Jain, Rajeev; Samueli, H.; Yang, P.T.; Chien, Charles; Chen, G.G.; Lau, Lisa M.; Chung, Bong-Young; Cohen, E.

doi:10.1109/4.109556

Cited by 22 publications

(2 citation statements)

References 10 publications

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“…Telecommunication Model The system that we investigate can assume the communication between the different sensors (Temperature, Position or Video) in a unique frequency band (Bandwidth 80 MHz) [4] [5]. The architecture of the transceiver is based on spread spectrum technique using a Binary Phase Shift Keying modulation (BPSK) [6]. The data rate is configurable between 19 kbps and 5.7 Mbps by the spreading code length N (7<N<2047) decided by the user.…”

Section: Mixed Model Presentationmentioning

confidence: 99%

“…This cross-correlation Rc(Q) function is mathematically expressed by the following equation [ 6 ] where Tc is the chip time, N, is the number of bits of the spread code, X the delay between the received signal (pn, (t)) and the local PN-Code (pn, (t-t)) and R, being the cross-correlation B. Noise generation validation Our study on the channel deals with the level of parametrable signal to noise ratio here fixed to 15dB.…”

Section: Mixed Model Presentationmentioning

confidence: 99%

See 1 more Smart Citation

Virtual Prototype Design Using VHDL-AMS for a Transceiver Model

Guilleminot

Andrieux

Mercier

2005

EUROCON 2005 - The International Conference on "Computer as a Tool"

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This paper is a contribution to industries will to develop reusable model database based on recent VHDL-AMS language tool. The work proposes a direct sequence virtual spread spectrum telecommunication prototype for closed applications. A mixed spread spectrum telecommunication library is developed, included pseudonoise generator. A digital autocorrelation function is validated, and a my specific AWGN channel generating an automatic noise level is presented here along with the Box-Muller generation method to set the SNR parameter directly.

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Section: Mixed Model Presentationmentioning

confidence: 99%

Section: Mixed Model Presentationmentioning

confidence: 99%