Source Correlation in Randomly Excited Complex Media

Cozza, Andréa

doi:10.1109/lawp.2012.2182982

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…where d 2 indicates direct path power and 2σ 2 gives the diffuse power. Moreover, the statistics of the received signal amplitude is expected to follow the Rice distribution, P(|S 12 |; σ 2 , d), described in (59).…”

Section: A Verification With Semiempirical Models 1) Problem Setupmentioning

confidence: 99%

A Stochastic Green’s Function for Solution of Wave Propagation in Wave-Chaotic Environments

Lin

Peng

Antonsen

2020

IEEE Trans. Antennas Propagat.

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We present a statistical, mathematical, and computational model for prediction and analysis of wave propagation through complex, wave-chaotic environments. These are generally enclosed environments that are many wavelengths in extent and are such that, in the geometric optics limit, ray trajectories diverge from each other exponentially with distance traveled. The wave equation solution is expressed in terms of a novel stochastic Green's function that includes both coherent coupling due to direct path propagation and incoherent coupling due to propagation through multiple paths of the scattering environment. The statistically fluctuating portion of the Green's function is characterized by random wave model and random matrix theory. Built upon the stochastic Green's function, we have derived a stochastic integral equation method, and a hybrid formulation to incorporate the component-specific attributes. The proposed model is evaluated and validated through representative experiments.

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Section: A Verification With Semiempirical Models 1) Problem Setupmentioning

confidence: 99%

A Stochastic Green’s Function for Solution of Wave Propagation in Wave-Chaotic Environments

Lin

Peng

Antonsen

2020

IEEE Trans. Antennas Propagat.

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“…where the observer's position has been dropped for the sake of brevity. The {γ k } can typically be assumed to be independent and identically distributed [33], in particular for the case where no line-of-sight (LoS) contribution is present, as assumed in all results and discussions reported in the rest of this paper. This same property is inherited by the {a k }.…”

Section: Modal-based Model For H(t)mentioning

confidence: 99%

Stochastic Modeling of Impulse Responses in Reverberating Environments

Cozza¹

2019

IEEE Trans. Veh. Technol.

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Propagation of waves within media supporting reverberation is usually regarded as a direct extension of the case of multi-path propagation, where a set of independent paths, equivalent to plane-wave contributions, can be drawn between a transmitter and a receiver. This paper adopts an alternative approach, based on modal theory, in order to derive models of the stochastic behavior of impulse responses (IRs) measured within such media. IRs can be represented as stationary Gaussian random processes whose amplitude is modulated by a decay function that converges to an exponential only if the time constants of each mode are similar, otherwise displaying a decay rate slowing with time as the modal time constants become more diverse. The asymptotic convergence to a Gaussian process is controlled by the number of available modes, which modal theory predicts to increase linearly with the bandwidth, but quadratically with the frequency. Modal theory implies that groups of typically more than eight propagation paths must be coherently related in order to give rise to reverberation. As a result, fewer degrees of freedom may be available than expected from the number of propagation paths involved, thus leading to a slower convergence to Gaussian propagation models. The stochastic model introduced is further applied in order to understand how far IRs can locally fluctuate away from their root-mean-square amplitude profiles. All theoretical predictions are supported by experimental results.

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“…Recently, optimized stirrers have been designed to improve the stirring performance [12]. Meanwhile, the source-stir technique has been applied to improve testing efficiency [13][14][15][16][17][18][19][20][21]. The multi-probe system, one of the stir techniques, is generally used in the RC [18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Reducing the Measurement Time in a Reverberation Chamber to Less than 1 Second

Xia

Fang

et al. 2023

ACES Journal

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To increase the speed of the measurement, a time-efficient multi-probe system in a reverberation chamber (RC) is validated. The system consists of 4 printed circuit board (PCB) switches integrating with 128 probe antennas. By using solid-state switches, all antennas can be switched over in sequence in less than 1 second. Typical characteristics of the RC and the total radiated power (TRP) of the device under test (DUT) are performed to verify the validity of this configuration. Compared with the RC using mechanical stirrers, this system shows its superiority in terms of testing efficiency.

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Source Correlation in Randomly Excited Complex Media

Cited by 5 publications

References 18 publications

A Stochastic Green’s Function for Solution of Wave Propagation in Wave-Chaotic Environments

A Stochastic Green’s Function for Solution of Wave Propagation in Wave-Chaotic Environments

Stochastic Modeling of Impulse Responses in Reverberating Environments

Reducing the Measurement Time in a Reverberation Chamber to Less than 1 Second

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