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Bat Echolocation Researc h - Bat Conservation International

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f tuned = f bat . As an example, with a setting of the oscillator<br />

frequency at 45 kHz, an FM pulse sweeping from 70<br />

kHz to 25 kHz would produce a V-shaped output sweeping<br />

from 25 to 0 kHz and up again to 20 kHz. A low-pass<br />

filter in the output (e.g., 5 or 8 kHz) functions as a ‘frequency<br />

window,’ filtering out higher frequencies and providing<br />

a clear, audible signal, sweeping down from 5 to 0<br />

kHz and up to 5 kHz again (Table 1, Fig. 1). The same<br />

output, however, will be produced at detector settings of<br />

55 or 35 kHz, and there is no frequency information<br />

available from the output signal (Fig. 1). The frequency at<br />

which the bat detector is tuned provides the only information<br />

on the frequency of the incoming signal.<br />

REQUIREMENTS OF A DETECTOR<br />

Table 1: An example of input and output frequencies when<br />

heterodyned or mixed with an oscillator signal (i.e., the tuned<br />

frequency) of 45 kHz. In different detectors, low pass filters may<br />

be broader or narrower, resulting in a broader or narrower frequency<br />

window.<br />

be used to continuously monitor the activity of bats.<br />

Limitations result from the process of counting the<br />

time between the zero crossings because the sinusoidal<br />

waveform is converted to a square wave in the output signal,<br />

thus losing some of the physical information in the<br />

call. Also, the FD detector converts zero crossings for<br />

only the most intense frequency and does not provide<br />

information on harmonics. The process of ‘averaging’<br />

groups of 10 waves also makes it impossible to evaluate<br />

rapid frequency changes. These typically occur at the<br />

beginning or end of a pulse where rates of frequency<br />

change tend to be relatively high in FM signals of bats. In<br />

that respect, FD detectors give less reliable measures of<br />

start and end frequencies in the steep FM parts of pulses.<br />

The signal produced by FD detectors can be used for<br />

sound analysis, but physical detail in the signal is lower<br />

than from TE detectors. In some systems, the pulse envelope<br />

is determined and superimposed on the output<br />

wave. In this way, information on amplitude is preserved.<br />

A Fast Fourier Transform analysis of a FD signal, e.g. to<br />

calculate peak frequency, will however be much less<br />

accurate than in a TE signal. A zero-crossing analysis,<br />

through its nature, would be more accurate, but as a consequence<br />

of the averaging of groups of 10 cycles is still<br />

not as accurate as in TE.<br />

Heterodyne detectors use a variable-frequency oscillator<br />

and mix the incoming frequencies of the bat(f bat )<br />

with the oscillator frequency tuned in the<br />

detector(f tuned ). The resulting signal contains the sum<br />

frequencies (f tuned + f bat ) as well as the difference frequencies<br />

(f tuned - f bat ) as frequencies with high energy.<br />

The sum frequency will be higher than the ultrasonic frequency<br />

of the bat and will be filtered out. Where the frequency<br />

of the pulse is near the tuned frequency, the difference<br />

frequency will be low, reaching 0 kHz where<br />

Section 2: Acoustic Inventories<br />

The requirements that we place on detectors for<br />

detecting bats closely resemble the requirements of a bat<br />

trying to detect insect prey. As for a bat hunting an<br />

insect, we wish to detect the presence of a bat and, with<br />

a certain accuracy and resolution, know its position<br />

(distance and angle) and possible flight course. In this<br />

context. we discuss a number of different requirements<br />

and features.<br />

Detection Range and Sensitivity<br />

Ideally, the range over which a bat is detected should<br />

be as large as possible. This allows the sampled area to<br />

be larger and the number of observations higher. Greater<br />

range allows for an earlier detection of bats resulting in<br />

a longer observation time, which enhances recording<br />

and identification possibilities.<br />

Detection range depends on several variables that<br />

include the frequency range and strength (amplitude) of<br />

the emitted signal, the sensitivity of the microphone to<br />

different frequencies, the orientation of the bat to the<br />

microphone, whether the bat is flying in open or cluttered<br />

airspace, and atmospheric conditions. The amplitude<br />

of calls and the signal type used by the species of<br />

bat (Fig. 2) are<br />

dependent on habitat<br />

and the distance<br />

a bat is from<br />

surrounding obstacles<br />

that produce<br />

clutter (i.e., echoes<br />

from objects other<br />

than the target,<br />

Figure 2: The range over<br />

which a bat is detected is<br />

dependent on call intensity<br />

and the type of signal<br />

(frequency, bandwidth)<br />

used by the bat.<br />

29

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