Performance analysis of PC and SGA models for UWB using modified Hermite

Maaref, Abdelaziz; Elahmar, Sid Ahmed; Bouziani, Merahi

doi:10.1109/setit.2012.6481972

Cited by 1 publication

(3 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Assume that we use IEEE 802.15.3a channel model, and the channel is impacted by thermal noise (Gaussian White Noise), the received signal is the sum of the transmitted signal which from transmitters and the Gaussian White Noise, it can be expressed as [2][3]: (4) The received signal can be defined as, [2][3]: (5) Where received signal contributions are independent and are the useful signal and multiple access interference gathered at the receiver, respectively.…”

Section: Ts =Tb /Nsmentioning

confidence: 99%

“…Assuming that Zmui and Zn are zero-mean Gaussian random processes characterized by variance and , respectively. Based in that works, for the binary PPM modulation the bit error probability is written by [2][3].…”

Section: Ts =Tb /Nsmentioning

confidence: 99%

“…In UWB, there are two approaches for multiple accesses. One is based on time hopping (TH), which is known as an Impulse radio [2] and second is based on Multi band OFDM [2].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal PPM-Shift Based on Artificial Neural Network for 2PPM-TH-UWB systems

Maaref¹,

Elahmar²

2019

JESTR

Self Cite

View full text Add to dashboard Cite

The optimal value of the PPM-Shift related with the binary TH-PPM should be cautiously selected to make sure the finest performance of the PPM-TH-UWB system for a given pulse shape utilized in a specific submission. In addition, it has been demonstrated that the ideal choice of the PPM-Shift parameter denotes back to the autocorrelation characteristics of the pulse shape under examination. In this paper, artificial neural network (ANN) with Levenberg-Marquardt Learning Algorithm (LM) is proposed to optimize PPM-shift for the TH-UWB under Standard Gaussian Approximation (SGA) with multi-Rate system, this optimal PPM-Shift is a function of the data bit Rate (Rb) and Gaussian pulse and its derivatives. Theoretical analysis and simulation results show that our algorithm rapidly converges to the optimal PPM-Shift and has the advantages of low bit-error rate.

show abstract