3D Time-of-flight distance measurement with custom - Universität ...
3D Time-of-flight distance measurement with custom - Universität ...
3D Time-of-flight distance measurement with custom - Universität ...
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SOLID-STATE IMAGE SENSING 51<br />
out by sequentially connecting the low impedance pixel-amplifier to the output,<br />
rather than the high-impedance nodes <strong>of</strong> the photodiodes. The APS principle,<br />
sketched in Figure 3.1 d, <strong>of</strong>fers low conversion capacitance and hence good<br />
sensitivity and low noise performance, gradually approaching CCD performance.<br />
Another advantage is the possibility to read out and reset single pixels by selecting<br />
them <strong>with</strong> the proper address at the row- and column- address decoder. This<br />
makes it possible to define so-called regions <strong>of</strong> interest (ROI) and to increase the<br />
image frame rate locally. Also, in general each pixel can be operated <strong>with</strong> an<br />
individual integration time. However, compared to CCDs, CMOS APS imagers <strong>of</strong>ten<br />
have a poorer image quality. This is because they suffer from an effect known as<br />
fixed pattern noise (FPN): due to variations in oxide thickness, size <strong>of</strong> gate area<br />
and doping concentrations over the sensor, each pixel has a different <strong>of</strong>fset (up to<br />
some 10mV differences) and a slightly different gain, (which can usually be<br />
neglected). Therefore, external FPN correction is required; an effort, which is not<br />
necessary if using CCDs. FPN correction subtracts a locally stored dark image from<br />
the actually acquired image, thus eliminating the fixed pattern noise. Recently,<br />
approaches such as sensor-integrated correlated double sampling (CDS) or the<br />
active column principle have been demonstrated, <strong>of</strong>fering ways to overcome the<br />
FPN problem [HOP, DEC, VOG].<br />
The basic difference between CCD (charge domain signal processing) and CMOS<br />
APS (in general voltage domain signal processing) is illustrated by the hydrostatic<br />
equivalents in Figure 3.1 a+b. CCD imagers locally collect charge carriers to<br />
transport them physically to the output stage, where they are converted into a<br />
voltage. In contrast, CMOS APS sensors generate the signal voltage already in the<br />
pixel. The information can then be directly connected to the output.<br />
Both CCD and CMOS APS are realized in MOS-technologies (Metal Oxide<br />
Semiconductor), mostly in silicon. The special processes, however, are optimized<br />
towards different goals. So it is usually not possible to realize good CCDs <strong>with</strong> a<br />
CMOS process or to realize efficient CMOS circuitry in a CCD technology. An<br />
overview <strong>of</strong> the most important and relevant electrical and optical properties <strong>of</strong><br />
silicon for image sensing is given in Section 3.1. The following sections then focus<br />
on specific principles and properties <strong>of</strong> CCD (Section 3.2) and CMOS APS sensors<br />
(Section 3.3). More detailed information can be found in the references [TEU, BEY,<br />
SEQ, SZ1, SZ2, PS1, PS2, FOS].