A Micro Tactical Grade INS using MEMS Technology and a Multiple Sensors Adaptive Filler (MSAF)

Irvine Sensors Corporation proposes the development of a Multiple Sensors Adaptive Filter (MSAF) to provide a Tactical Grade INS using MEMS Technology in a smaller (two cubic inch) package, at lower power and lower cost than other approaches. The MSAF is a custom IC that will perform complex filtering on multiple sensor inputs, Analog to Digital Conversion (ADC) and combine the sensor results into one digital output. The goal of MSAF development is to improve the performance of MEMS sensors by using multiple sensors and multiple adaptive filters in one IC. This approach is useful for MEMS inertial sensors, such as micro accelerometers and gyroscopes, that are low cost and miniature in size, but are limited in performance. By using MSAF, a module of multiple sensors can improve the INS accuracy for many military and commercial applications, and still achieve lower cost than present solutions. The MSAF chip is integrated with multiple sensors using ISC 3-D stacking technique to achieve optimum size and performance. MSAF combines two filters: as Neural Adaptive Pre-Filter (NAF), and a Wavelet Transform Filter (WTF). MSAF is ideally suited to remove electronic noise, non-linearity, and performance degradation. MSAF also provides the fault-tolerant capability for the system.