Acoustic simulation of mobile phone coupled to artificial ear
Introduction
In the acoustical design of a handset type audio-visual (AV) telephony device, an artificial ear is used to simulate the acoustic performance in the actual hand-held usage condition in contact with an ear. Artificial ears, Type 3.3 and 3.4, are currently used as the standard test rigs in telecommunication industries. The acoustic response of such telephony device is measured at the drum reference point (DRP) and converted to the response at the ear reference point (ERP) by using the calibration table specified in the ITU-T P.57 [1]. The measured acoustic response of the sample is to be compared with the desired preset performance. The foregoing experimental procedure is repeated in a trial-and-error way until the desired response is reached by modifying design parameters.
There have been several virtual design approaches for the compact acoustic system of the mobile phone. Automatic design method [2] was proposed to improve the degraded sensitivity caused by the leakage of the coupler, i.e., so-called pseudo ear, according to the IEC-60318 standard. They tried to optimize the design parameter and structure of the derived electric circuit model by using the genetic algorithm. The same method was applied to the automatic design of an artificial ear Type 3.2 to fit the receiver response in the global system for mobile (GSM) specification [3]. However, the comparison of the automatic design method with the experimental ones was not shown for both cases.
To understand the performance of simulators as representing the average human ear, ITU-T Study Group 12 suggested the measurement of impedance of artificial ear Type 3.3 and 3.4 [4]. A device, equipped with a 1/2-in. microphone as a constant velocity source and a probe microphone as a pressure sensor, was employed for the measurement of acoustic impedance at a point in the close near-field of the artificial ear.
In this work, to avoid empirical conditioning of design parameters of the sound reproduction system, the electric circuit model based on the electro–mechano-acoustical analogy is derived by employing all the detailed system components [5], [6]. Impedance of an artificial ear, Type 3.3 or 3.4, is directly measured by using the multiple microphone technique within a straight duct, which is excited by an external sound source [8]. It is shown that the suggested model with the measured impedance of an artificial ear is in good agreement with the measured result for a test condition in the frequency range of 300–3400 Hz, which corresponds to the narrow communication band defined in the telephone industry.
Section snippets
Receiver model
Thiele and Small’s model [5], [6] is employed in the electro-acoustic modeling. In this model, both electric system and mechanical system of a mobile phone receiver are lumped and combined with the acoustic path model by using the analogy among electrical, mechanical, and acoustical elements [7]. It is known that electric circuit model yields a reasonable result as long as the diaphragm of loudspeaker can be considered as a linearly oscillating rigid piston, i.e., the entire cone moves fore-aft
Measurement of input acoustic impedance
Acoustic impedances of the artificial ear Type 3.3 and 3.4 are measured directly by using the multiple microphone method in a duct [8]. In using the multiple microphone method, one needs an external sound source for exciting the source-duct system, while the actual source is attached to the artificial ear. Random noise from 0 to 12.8 kHz is fed from a midrange speaker (JBL 2490H) with power amplifier (B&K 2716) into the duct that connects the test object, i.e., artificial ear and mobile phone
Measurement of spectral sensitivity of artificial ears
Acoustic response of two mobile phones is measured when they are mounted on the artificial ears by following the standard setup recommended by ITU-T P.57. The measured data is to be compared with the predicted result from the equivalent circuit model. To the receiver system, a sine-sweep signal from 0 to 12.8 kHz is fed with a sweeping rate of 270 Hz/s through a power amplifier (B&K 2716). Sweeping is conducted 10 times, 10 samples of the receivers are taken for each receiver unit, and the output
Conclusion
In this work, an equivalent electric circuit model of the receiver system of mobile phone is constructed considering the acoustic coupling with the artificial ear and the leakage. In particular, artificial ear Type 3.3 and 3.4 are considered as the audiometric devices for the real ear auditory simulation. The derived model is used for the prediction of pressure response at ear reference point (ERP) in the early design. The coupling effect of the mobile device and artificial ear, which simulates
Acknowledgments
The authors would like to thank Wireless Marketing Division of Samsung Electronics Co. for helping the experiments. This work was partially supported by BK 21 Project and NRF (2012-0000977 and 2012R1A2A2A01009874). The acoustic impedances of artificial ear Type 3.3 and 3.4 under 6 N and 8 N application forces respectively are provided from Søren Jønsson at B&K for comparison purpose.
References (14)
Electromechanical analogies in acoustics
Appl Acoust
(1970)On the radiation impedance of a rectangular piston
J Sound Vib
(1983)- ITU-T, Recommendation P.57, Artificial ears, international telecommunications union standardization sector;...
- Nakatani T, Kajikawa Y, Nomura Y. An automatic design method for compact acoustic systems by the genetic algorithm. In:...
- Kajiwara M, Kajikawa Y, Nomura Y. A design of mobile phones using design support software for compact acoustic systems....
- Lorho G, Isherwood D. Acoustic impedance characteristics of artificial ears for telephonometric use. In: ITU-T workshop...
Loudspeakers in vented boxes
J Audio Eng Soc
(1971)
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