A Broadband Multi-Mode Compressive Sensing Current Sensor SoC in 0.16μm CMOS

被引:13
作者
Bellasi, David [1 ]
Crescentini, Marco [2 ,3 ]
Cristaudo, Domenico [4 ]
Romani, Aldo [2 ,3 ]
Tartagni, Marco [2 ,3 ]
Benini, Luca [1 ,5 ]
机构
[1] Swiss Fed Inst Technol, Dept Informat Technol & Elect Engn, CH-8092 Zurich, Switzerland
[2] Univ Bologna, Adv Res Ctr Elect Syst, I-47521 Cesena, Italy
[3] Univ Bologna, Dept Elect Elect & Informat Engn, I-47521 Cesena, Italy
[4] STMicroelectronics, I-95121 Catania, Italy
[5] Univ Bologna, Dept Elect Elect & Informat Engn, I-40131 Bologna, Italy
基金
欧盟地平线“2020”; 瑞士国家科学基金会;
关键词
Hall sensor; current sensor; SoC; compressive sensing; non-uniform sampling; non-intrusive load monitoring; MAGNETIC HALL SENSOR; ENERGY-EFFICIENCY; COMPENSATION; ANALOG; ARCHITECTURE; DESIGN;
D O I
10.1109/TCSI.2018.2846573
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Broadband current sensors are key components in numerous applications, including power conversion, motor control, and smart-metering. We present a compressive sensing (CS) current sensor system-on-chip (SoC) designed and fabricated in STM 0.16 mu m Bipolar-CMOS-DMOS technology. The SoC is capable of measuring currents with amplitudes of up to 10 A peak with a sensing bandwidth of 1 MHz. Two broadband current sensing cores, each consisting of a Hall-effect probe, an AM, and a 2 MS/s 9-hit ADC, are monolithically integrated together with a digital multi-mode compressive sensing encoder (DCSE) for data-rate reduction. We focus on the evaluation of CS as data compression codec for current sensing applications and on the details of the DCSE architecture designed for general purpose use. We introduce multi-block decoding that is a decoding modality to improve the reconstruction quality of "off-grid sparse" signals commonly occurring in practice. Moreover, we provide measurements of both the compression performance and power consumption of the SoC employed in two exemplary real-world applications; namely, sparse current sensing, and electrical appliance detection for non-intrusive load monitoring based on compressive measurements.
引用
收藏
页码:105 / 118
页数:14
相关论文
共 54 条
[1]  
Ajbl A., 2012, P IEEE SENSORS, P1
[2]  
[Anonymous], 2006, IEEE INT C ACOUST SP
[3]  
Hoyo-Montaño JA, 2016, INT CONF POW ELECTR, P221, DOI 10.1109/CIEP.2016.7530760
[4]   Is disaggregation the holy grail of energy efficiency? The case of electricity [J].
Armel, K. Carrie ;
Gupta, Abhay ;
Shrimali, Gireesh ;
Albert, Adrian .
ENERGY POLICY, 2013, 52 :213-234
[5]   Energy-Efficiency Analysis of Analog and Digital Compressive Sensing in Wireless Sensors [J].
Bellasi, David E. ;
Benini, Luca .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2015, 62 (11) :2718-2729
[6]   A Low-Power Architecture for Punctured Compressed Sensing and Estimation in Wireless Sensor-Nodes [J].
Bellasi, David E. ;
Rovatti, Riccardo ;
Benini, Luca ;
Setti, Gianluca .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2015, 62 (05) :1296-1305
[7]   VLSI Design of a Monolithic Compressive-Sensing Wideband Analog-to-Information Converter [J].
Bellasi, David E. ;
Bettini, Luca ;
Benkeser, Christian ;
Burger, Thomas ;
Huang, Qiuting ;
Studer, Christoph .
IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2013, 3 (04) :552-565
[8]   Monolithic magnetic hall sensor using dynamic quadrature offset cancellation [J].
Bilotti, A ;
Monreal, G ;
Vig, R .
IEEE JOURNAL OF SOLID-STATE CIRCUITS, 1997, 32 (06) :829-836
[9]   Compensation of the the temperature-dependent offset drift of a Hall sensor [J].
Blanchard, H ;
Iseli, CD ;
Popovic, RS .
SENSORS AND ACTUATORS A-PHYSICAL, 1997, 60 (1-3) :10-13
[10]   Robust uncertainty principles:: Exact signal reconstruction from highly incomplete frequency information [J].
Candès, EJ ;
Romberg, J ;
Tao, T .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (02) :489-509