The main challenge in all angle of arrival estimation is the uncertainties introduced by either ambient noise or a persistent interfering signal. Our main interest in angle of arrival estimation is a single parameter estimation using a number of measurements, a well researched field. A method that can conveniently deal with this problem using a minimum number is sensors is the so-called coherence using no more than two sensors.
Consider a far field acoustic signal impinging microphones with separation distance at an angle of . The signal at microphone , , can be denoted as
where is the delay of the desired signal at microphone , is the source signal, is noise and is the speed of acoustic signals. Both and are zero mean ergodic processes. We will like to estimate the angle of arrival and beam form . The setup is as shown in Figure below.
Two microphones with pairwise distance of
Define as :
Similarly, define as :
The sample coherence, , is:
Define the imaginary parts and real parts of the sample coherence as and respectively such that
From the above equations, we can synthesize
We can now explicitly eliminate the term to leave an equation with a single unknown parameter, thus:
which leads to
We note that if and only if the angle of arrival is . If that was so, we can end. Now suppose , then
which simplifies to
Now, since , there is only one other viable solution:
For the sub-band solution, the above equation reduces to
Note that an indeterminate form arises for , which can be ignored or resolved if required.
The required angle of arrival could be polled across all sub-bands for a single frame or within sub-bands for multiple frames.
Preliminary testing shows this approach is indeed very robust to noise. In the example, three frames are averaged for each coherence value. Further, only the estimates for frequencies between the bands of – are used. For sampling rate, this corresponds to the samples – if a 160 point FFT is used for each frame (160 samples).
The results for using this approach to separate two signals from is illustrated in Figure 1 below.
Results of separating two alternating signals
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