Blind Source Separation Processing on Multi-ion Sensing Systemwith Chip Integration

• Main Authors: Chia-Wei Lee, 李家緯
• Other Authors: Wen-Yaw Chung
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/45793495505498069105

碩士 === 中原大學 === 電子工程研究所 === 99 === Water quality monitoring has become an important issue of modern life. For safe human consumption, it is necessary to determine the ion contents of water. Blind Source Separation (BSS) theory provides an effective means of ion identification. This research focuses on the multi-ion sensing to achieve blind source separation system. In multi-ion chemical environment, the source signals correspond to the concentration of main ions and the concentration of interference ions. Experiments are conducted where the concentration of main ions is changed to predefined amounts as the concentration of interference ions is maintained constant. The mixtures of these source signals are measured using the Bridge-Type Readout Circuit of ISFET. Compared with known sample source signals, the BSS algorithm is confirmed to successfully estimate the original sources from the observed signals of ISFET readout circuit. The hardware systems that execute BSS function are designed based on the floating-point algorithm, complete any computing methods in hardware effectively, and are applied using the Xilinx Intellectual Property (IP) modules. Finally, the entire BSS design is embedded into a Field Programmable Gate Array (FPGA). Make sure function has been reached, and begin writing verilog code follow hardware architecture, and use synthetic software Design Vision to do RTL synthesis, and use automatic placement and routing software IC Compiler to do the chip layout. Finally follow the step to tape out CIC chip and measurement.