Far field-aware SOC design for sound source location based on 0.18-&amp;#x00B5;m CMOS process

Lee, Sheng-Chieh; Chen, Bo-Wei; Wang, Jhing-Fa; Bharanitharan, K.; Chen, Chi-Yuan

doi:10.1109/isac.2010.5670460

Cited by 2 publications

(4 citation statements)

References 11 publications

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“…In TDOA estimation, there are two typical algorithms, generalized cross correlation (GCC) [3] and the average magnitude difference function (AMDF) [4]. GCC uses multiplication, and AMDF uses subtraction [5]. Also, many algorithms have been proposed for implementing TDOA estimation for sound localization [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…However, their circuit had a relatively high processing time (1 sec). S.-C. Lee et al [5] designed an AMDF circuit using two microphones based on the 0.18 µm process. Although they could achieve an accuracy of 90% and average angle error within ±5° at up to five meters in an experiment, their chip only gave localization results of less than half the sound localization range (150°).…”

Section: Introductionmentioning

confidence: 99%

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Real-time Sound Localization Using Generalized Cross Correlation Based on 0.13 ㎛ CMOS Process

Jin¹,

Jin²,

Lee³

et al. 2014

JSTS:Journal of Semiconductor Technology and Science

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Abstract-In this paper, we present the design and implementation of real-time sound localization based on 0.13 µm CMOS process. Time delay of arrival (TDOA) estimation was used to obtain the direction of the sound signal. The sound localization chip consists of four modules: data buffering, short-term energy calculation, cross correlation, and azimuth calculation. Our chip achieved real-time processing speed with full range (360°) using three microphones. Additionally, we developed a dedicated sound localization circuit (DSLC) system for measuring the accuracy of the sound localization chip. The DSLC system revealed that our chip gave reasonably accurate results in an experiment that was carried out in a noisy and reverberant environment. In addition, the performance of our chip was compared with those of other chip designs.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Real-time Sound Localization Using Generalized Cross Correlation Based on 0.13 ㎛ CMOS Process

Jin¹,

Jin²,

Lee³

et al. 2014

JSTS:Journal of Semiconductor Technology and Science

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“…The cost for the chip of ASL proposed in [9] is reduced with a new architecture. Two new methods are proposed and implemented in hardware framework.…”

Section: Introductionmentioning

confidence: 99%

“…Second, a circular buffer design is presented for memory access to achieve low complexity and high performance. Compared with other chips [1], [9][10] this work provides a new hardware structure with smaller chip area and lower power consumption, and it can keep high accuracy rate of 90% for high intensity sound localization.…”

Section: Introductionmentioning

confidence: 99%

An improvement of chip design for auditory source localization awareness

Wang

Chou

Huang

et al. 2011

2011 3rd International Conference on Awareness Science and Technology (iCAST)

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Sound localization or direction of arrival (DOA) estimation plays a key role in awareness technologies since it can identify the coordinates of an unknown source. In this study, we present a new chip design, which is primarily based on the average magnitude difference function (AMDF), for reducing the hardware area and power consumption. Meanwhile, two novel hardware architectures with the folded architecture and circular buffer are also proposed in order to save unnecessary computation in this system, including short critical paths and simply control units of data access.The experimental results show that our proposed design can successfully enhance the operating frequency and reach higher performance. Furthermore, the accuracy rate of our system can achieve 90% with ±3° errors on average. The chip simulation result displays that the power consumption is approximately 1.3 mW, and the chip area is 0.998 mm 2 with 0.18-�m CMOS process.

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Far field-aware SOC design for sound source location based on 0.18-µm CMOS process

Cited by 2 publications

References 11 publications

Real-time Sound Localization Using Generalized Cross Correlation Based on 0.13 ㎛ CMOS Process

Real-time Sound Localization Using Generalized Cross Correlation Based on 0.13 ㎛ CMOS Process

An improvement of chip design for auditory source localization awareness

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