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If you look closely at the bumpers in Fig. 17.4 you will see that thin strips of rubber have been glued to the lower edge of the wooden embroidery hoop. These rubber strips not only provide extra cushion during collisions, but they also help ensure good contact of the copper surfaces because they ensure that the pressure from the contact will be applied to the lower half of the bumper. When a collision occurs, the bumper bends inward to make contact as shown in the diagram in Fig. 17.5. 17.2.3 INFRARED PERIMETER SENSORS Even though our robot will have physical bumpers to indicate when a collision occurs, we wanted our robot to detect objects in its path before a collision actually happens. One way to do this is with light. The idea is simple. When we want to determine if there is an object close to the robot we turn on a light source that will project its light away from the robot. If an object is close by, some of that light will be re ected back. If no re ection is detected with a phototransistor we can reasonably assume there is no object near that sensor.

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The [C/N0] ratio is then used in the link budget calculations, as described in Chap. 12. With purely digital systems, the BER will be directly reflected in errors in the data being transmitted. With analog signals which have been converted to digital form through PCM, the BER contributes to the output signal-to-noise ratio, along with the quantization noise, as described in Sec. 10.3. Curves showing the contributions of thermal noise and quantization noise to the signal-to-noise output for analog systems can be seen in Fig. 10.19. The signal-to-noise power ratio is given by (Taub and Schilling, 1986) S N Q 1

(10.25)

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As stated earlier, this idea is easy to understand. Unfortunately, the practical implementation of it can be a little harder. To begin with, we can t use normal light unless we want our robot to operate in total darkness. An easy solution is to use infrared light and place a luminance lter that blocks visible light, but passes infrared over the phototransistor. The above solution works, but only if there are no other sources of infrared light in the robot s work area. Unfortunately, uorescent lights generate a lot of infrared. Even sunlight has enough infrared to cause problems. An easy solution to this is to modulate the light source (i.e., have it pulse at a speci ed frequency). An electronic lter can then be added to the phototransistor circuit to ensure that only the modulated light will be detected. The above sounds (and is) complicated. Fortunately nowadays, you can buy phototransistors that have an embedded electronic lter and an integrated luminance lter. The Boe-Bot kit includes two of these parts and two infrared LEDs, and the manual gives detailed experiments that show how to use them. Additional parts can be purchased separately. RobotBASIC s simulated robot has ve sensors of this type to help it detect objects in its path. Figure 17.6 shows how the real robot also has ve sensors. The wiring for each

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By Problem 11.1, the tangent line has slope 2( 1 ) = 1. Therefore, by Theorem 4.2, the slope of the normal line is 1, 2 and the slope-intercept equation of the normal line will have the form y = x + b. When x = 1 , y = x 2 = ( 1 )2 = 1 , 2 2 4 whence, 1 1 = 4 2 +b or b= 3 4

Figure 10.19 (a) Use of optimum terminal filter to maximize the signal-tonoise voltage ratio; (b) plot of Eq. (10.25).

FIGURE 17.6 Infrared sensors are composed of an infrared LED (transmitter) and a photo-sensitive detector (receiver).

where Q 2n is the number of quantized steps, and n is the number of bits per sample. The BER can be improved through the use of error control coding. This is the topic of Chap. 11. 10.7 Carrier Recovery Circuits To implement coherent detection, a local oscillator (LO) that is exactly synchronized to the carrier must be provided at the receiver. As shown in Sec. 10.6.1, a BPSK signal is a double sideband suppressed carrier (DSBSC) type of signal, and therefore, the carrier is not directly available in the BPSK signal. The carrier can be recovered using a squaring loop, as shown in Fig. 10.20. Consider first the situation where the input is a BPSK signal. The frequency multiplier is a nonlinear circuit, which squares the signal. Squaring Eq. (10.14) results in e2(t) p2(t) cos2 p2(t)a 1 2

Fig. 11-6

(10.26)

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