signal. In fact, it is impossible to remove just the noise without attenuating the signal if the frequencies overlap or if there are common frequencies. For this reason, the Signal to Noise Ratio (SNR), the power ratio between the signal and noise, has more value in noise reducing processes and is more frequently used in practice. For the purposes of this project, moderately controllable variables such as the weather and wind are removed by testing in an open space that is indoors with relatively low draft. Mechanical and electrical noise from the equipment is monitored and removed as much as possible without distorting the desired signal itself using a Second Order Complementary Filter. Second Order Complementary Filter A complementary filter is a filter with a derivative feedback through the filter. The order of a filter determines how many components that is required. The high level design for a second order filter requires two integrals from the inputs to the output. Therefore, a Second Order Complementary Filter is one with two integrals, with the value of the output being fed back between the first and second integral. A block diagram of the Second Order Complementary filter can be seen in . Figure 12: Second Order Complementary Filter Theoretically and through experiments, it can be seen that the Second Order Complementary Filter performs drastically better than a First Order Complementary Filter and without wasting too much more computation time. It can be seen that a
signal. In fact, it is impossible to remove just the noise without attenuating the signal if the frequencies overlap or if there are common frequencies. For this reason, the Signal to Noise Ratio (SNR), the power ratio between the signal and noise, has more value in noise reducing processes and is more frequently used in practice. For the purposes of this project, moderately controllable variables such as the weather and wind are removed by testing in an open space that is indoors with relatively low draft. Mechanical and electrical noise from the equipment is monitored and removed as much as possible without distorting the desired signal itself using a Second Order Complementary Filter. Second Order Complementary Filter A complementary filter is a filter with a derivative feedback through the filter. The order of a filter determines how many components that is required. The high level design for a second order filter requires two integrals from the inputs to the output. Therefore, a Second Order Complementary Filter is one with two integrals, with the value of the output being fed back between the first and second integral. A block diagram of the Second Order Complementary filter can be seen in . Figure 12: Second Order Complementary Filter Theoretically and through experiments, it can be seen that the Second Order Complementary Filter performs drastically better than a First Order Complementary Filter and without wasting too much more computation time. It can be seen that a