The authors present the results of average and impulsive noise measurements inside several office buildings and retail stores. The noise measurement system operated at 918 MHz, 2.44 GHz, and 4 GHz with a nominal 40-MHz, 3-dB RF bandwidth. Omnidirectional and directional antennas were used to investigate the characteristics and sources of RF noise in indoor channels. Statistical analyses of the measurements are presented in the form of peak amplitude probability distributions, pulse duration distributions, and interarrival time distributions. Simple first-order mathematical models for these statistical characterizations are also presented. These analyses indicate that photocopiers, printers (both line printers and cash register receipt printers), elevators, and microwave ovens are significant sources of impulse noise in office and retail environments. >

http://faculty.poly.edu/~tsr/wp-content/uploads/CV/MTJ/1993-09-Measurements%20and%20models%20of%20radio%20frequency%20impulsive%20noise%20for%20indoor%20wireless%20communications.pdf

Measurements and models of radio frequency impulsive noise for indoor wireless communications

Electrical and mechanical equipment can be a major source of interference to indoor wireless systems. A receiver system was developed to measure the time-varying nature of such "impulsive noise" in the 450 MHz band, and extensive measurements were made in hospitals and clinics across the United States. Empirical distributions were extracted for the amplitude, inter-arrival time, and duration of the observed noise pulses. The software propagation simulation tool SIRCIM Plus was developed to include the simulation of impulsive noise in indoor environments, based on the measurements reported here.

Measurements and simulation of radio frequency impulsive noise in hospitals and clinics

Implementation of Geometrically Based Single-Bounce Models for Simulation of Angle-of-Arrival of Multipath Delay Components in the Wireless Channel Simulation Tools, SMRCIM and SIRCIM

Measurement and Models of Radio Frecuency Impulsive Noise for Indoor Wireless Communications

In a shared radio frequency environment, several intentional and unintentional transmitters are expected to co-exist. Hence, the ability to identify the source of an arbitrary interfering signal, using an automated diagnostic tool, is desirable. This paper describes the development of a scheme that can be used to construct such a diagnostic tool. >

/pdf/adaptive-classification-of-interfering-signals-in-a-shared-29enhhtu7d.pdf

Kenneth Lee Blackard

Papers

Measurements and models of radio frequency impulsive noise inside buildings