Probability density function of notch depth for dominant mode rejection beamformer

Enlong Hu; Hongya Ge

doi:10.1049/el.2019.2411

Probability density function of notch depth for dominant mode rejection beamformer

Enlong Hu, Hongya Ge

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

In this Letter, the authors present a closed-form derivation of the probability density function (PDF) for the notch depth (ND) of the dominant mode rejection adaptive beamformer (ABF). Their PDF expression closely approximates the true PDF for the case of single interferer at reasonable levels of interference-to-noise ratio. Their simulation results illustrate the close approximation between proposed distribution function and the ND histogram over a wide range of snapshots for fixed number of sensors.

Original language	English (US)
Pages (from-to)	1255-1258
Number of pages	4
Journal	Electronics Letters
Volume	55
Issue number	23
DOIs	https://doi.org/10.1049/el.2019.2411
State	Published - Nov 14 2019

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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10.1049/el.2019.2411

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title = "Probability density function of notch depth for dominant mode rejection beamformer",

abstract = "In this Letter, the authors present a closed-form derivation of the probability density function (PDF) for the notch depth (ND) of the dominant mode rejection adaptive beamformer (ABF). Their PDF expression closely approximates the true PDF for the case of single interferer at reasonable levels of interference-to-noise ratio. Their simulation results illustrate the close approximation between proposed distribution function and the ND histogram over a wide range of snapshots for fixed number of sensors.",

author = "Enlong Hu and Hongya Ge",

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AU - Ge, Hongya

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N2 - In this Letter, the authors present a closed-form derivation of the probability density function (PDF) for the notch depth (ND) of the dominant mode rejection adaptive beamformer (ABF). Their PDF expression closely approximates the true PDF for the case of single interferer at reasonable levels of interference-to-noise ratio. Their simulation results illustrate the close approximation between proposed distribution function and the ND histogram over a wide range of snapshots for fixed number of sensors.

AB - In this Letter, the authors present a closed-form derivation of the probability density function (PDF) for the notch depth (ND) of the dominant mode rejection adaptive beamformer (ABF). Their PDF expression closely approximates the true PDF for the case of single interferer at reasonable levels of interference-to-noise ratio. Their simulation results illustrate the close approximation between proposed distribution function and the ND histogram over a wide range of snapshots for fixed number of sensors.

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Probability density function of notch depth for dominant mode rejection beamformer

Abstract

All Science Journal Classification (ASJC) codes

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