The EVoK amplifier has an advanced adaptive feedback cancellation (AFC) algorithm. The improvements are in both the area of increasing the amount of added stable gain (ASG) and in the area of less sensitivity to miss adjustment due to certain input signals.
ADDED STABLE GAIN
Added stable gain (ASG) is the increase in a hearing aid gain that is made possible by activating the AFC algorithm. There are several improvements incorporated in AFC that increase the ASG:
1) Longer FIR filter - The AFC circuit works by adjusting the coefficients of an internal FIR filter so that the filter matches the external feedback path. Then by subtracting the signal from the filter, the external path is cancelled. The better the internal filter matches the external path, the better the cancellation and hence the more gain in the aid is possible. The AFC algorithm has an FIR filter that is 40 taps long. At the sampling rate of 16 kHz this means the filter can theoretically cancel an external path that is 2.5 ms long.
2) Frequency Range of Cancellation Extended - The AFC circuit is designed to only cancel a certain range of frequencies. This is done since feedback generally does not occur at low frequencies. The AFC has a correction range of 1.3 kHz to 6.7 kHz.
3) Adaptation Accuracy - The FIR filter is continually being adjusted to match the changes in the external path. The result of the changes can be seen in Figure 1. The graph shows the ASG for four examples of hearing aids on the KEMAR manikin in a static condition with a random noise input. The
ASG of AFC ranges from 15dB to 22dB.
Figure 1. Measured on KEMAR - static conditions
Sensitivity to mis-adjustment due to non random inputs – The AFC algorithm uses a normalized Least Means Squares (NLMS) technique to adjust the FIR filter described above. This technique is relatively simple to implement and has been used extensively in the industry. However, it has a problem when the input signal is correlated with itself. Examples of such inputs are music, microwave buzzers and horns. In these cases the algorithm can mis-adjust the FIR filter. The result can be feedback and its associated whistling. This phenomenon is sometimes called entrainment.
The AFC algorithm has some patent pending features that reduce the problem.
1) Sensitivity to sinusoidal inputs – The AFC algorithm is able to detect the presence of one sinusoidal input and avoid entrainment in that situation. The AFC can detect one or two sinusoids within a 500 Hz band and avoid entrainment in that situation. This is helpful in reducing problems from organ music and other inputs that have multiple tonal characteristics.
2) Inputs with closely spaced harmonics – Inputs with strong, stable harmonics that are spaced in 100 to 200 Hz range sometimes have caused problems first generation feedback cancellers. The EVoK detects these inputs and treats them in a special manner. An example where this is valuable is with a fog horn type of input.
3) Convergence speed – The adaptation speed is a compromise. Faster adaptation results in quicker response to changing situations while a slower response is less influenced by entrainment inputs.
The AFC algortihm is improved by using an adaptation that changes depending on the characteristics of the input signal and the parameters of the amplifier.