Smart Antennas

Sarkar, Tapan K.; Wicks, Michael C.; Salazar‐Palma, Magdalena; Bonneau, Robert J.

doi:10.1002/0471722839

Cited by 227 publications

(147 citation statements)

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“…The goals are to make the simulated antenna to provide a return loss profile under ̶ 4 dB or ̶ 6 dB (as it is expected for indoor applications [10][11][12][13] and to approximate the gain of the equivalent antenna to the gain of the antenna used in experiments. For this purpose, the model shown in Fig.…”

Section: B Numerical Modeling Of Environmentmentioning

confidence: 99%

Indoor Characterization of Power Delay Profile Using Equivalent Antenna Representation in Uniform FDTD Lattices

Martins

Oliveira

Dmitriev

et al. 2017

J. Microw. Optoelectron. Electromagn. Appl.

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Section: B Numerical Modeling Of Environmentmentioning

confidence: 99%

Indoor Characterization of Power Delay Profile Using Equivalent Antenna Representation in Uniform FDTD Lattices

Martins

Oliveira

Dmitriev

et al. 2017

J. Microw. Optoelectron. Electromagn. Appl.

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“…The evaluation of the discrete wavelet coefficients is equivalent to filtering the signal s(t) by a cascade of mutually orthogonal bandpass filters [21]. An optical HB filter can be realized by using Mach-Zehnder interferometers (MZIs) [14], [22].…”

Section: Wpt Based Co-ofdmmentioning

confidence: 99%

“… also may be used [21]. Since it is the simplest to implement, we adapt it in the proposed realization of the WPT based CO-OFDM photonic integrated circuit.…”

Section:  mentioning

confidence: 99%

All-Optical Signal Processing for High Spectral Efficiency (SE) Optical Communication

Ezra¹,

Lembrikov²,

Zadok³

et al. 2012

Optical Communication

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The need for CP can be avoided if the wavelet packet transform (WPT) is used in CO-OFDM systems instead of discrete Fourier Transform (DFT) and inverse DFT (IDFT) [13]. The sinusoidal functions are infinitely long in the time domain while wavelets have finite length being localized in time and in frequency domains [13]. Wavelet signal analysis can be a base for an effective computational algorithm which is faster and simpler than FFT [14]. Wavelets have been used in optical communications for time-frequency multiplexing and ultrafast image transmission [14]. A signal may be expanded in an orthogonal set of wavelet packets (WPs) as the basis functions, each channel occupies a wavelet packet (WP), and IDWPT/ DWPT are used at the transmitter and receiver, respectively [13].In this chapter, we consider the CO-OFDM based on WPT and its influence on the optical communication network performance. The chapter is constructed as follows. In Section 2, we review the coherent optical communication systems. In Section 3, we discuss high SE CO-OFDM system. In Section 4, we discuss the OFDM based on WPT and present the original results for the WPT-OFDM system performance. In Section 5, we present the original results concerning the simulations of the structure and operation mode of the novel passive components for all-optical signal processing based on Si-on-insulator (SOI) structure, and a novel hierarchical architecture of the 1Tb/s transmission system based on WPT-OFDM [15]. In Section 6, conclusions are presented.

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“…The localization of radiating sources using sensors arrays is a problem of considerable importance, occurring in a variety of fields ranging from radar, sonar, wireless communication, and radio astronomy to seismology [1][2][3][4]. Therefore, this problem has received considerable attention in the literature, resulting in a plethora of estimation algorithms [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Direction-of-arrival and Range Estimation of Wideband Sources in the Near Field

Lin

Xie

et al. 2017

MATEC Web Conf.

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Abstract. In this letter, we address the problem of wideband sources localization in the near field of the sensor array. It is shown that the spatial sampling rate can be considered as a function of temporal frequency so that wideband sources can be represented in the spatial frequency domain. A computationally efficient localization method is then developed based on the Toeplitz matrices constructed from the frequency-dependent cross-correlation between sensors. This allows us to resolve near field sources with quite a few numbers of sensors. Indeed, the sources can be located with fewer sensors. Finally, the simulation results are presented to validate the performance of the proposed method.

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Smart Antennas

Cited by 227 publications

References 0 publications

Indoor Characterization of Power Delay Profile Using Equivalent Antenna Representation in Uniform FDTD Lattices

Indoor Characterization of Power Delay Profile Using Equivalent Antenna Representation in Uniform FDTD Lattices

All-Optical Signal Processing for High Spectral Efficiency (SE) Optical Communication

Direction-of-arrival and Range Estimation of Wideband Sources in the Near Field

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