In this paper, a new, patent pending, digital baseband demodulator which is cost-effective, low-power, and easy to manufacture, is presented. Unlike conventional baseband digital hardware demodulators which are limited to the demodulation of wideband binary FSK signals in pagers, the proposed baseband demodulator is applicable to both wideband binary FSK and narrowband, multi-level FSK and PSK signals. This demodulator estimates phase rotation angle over one symbol time using the zero-crossings of in-phase and quadrature signals. Also presented is the theoretical performance analysis of the proposed demodulator along with computer simulation results. The performance analysis and computer simulations indicate that the proposed demodulator performs as well as conventional demodulators.

Parallel implementations of the extended square-root covariance filter (ESRCF) for tracking applications are developed. The decoupling technique and special properties used in the tracking Kalman filter (KF) are employed to reduce computational requirements and to increase parallelism. The application of the decoupling technique to the ESRCF results in the time and measurement updates of m decoupled (n/m)-dimensional matrices instead of one coupled n-dimensional matrix, where m denotes the tracking dimension and n denotes the number of state elements. The updates of m decoupled matrices are found to require approximately m fewer processing elements and clock cycles than the updates of one coupled matrix. The transformation of the Kalman gain which accounts for the decoupling is found to be straightforward to implement. The sparse nature of the measurement matrix and the sparse, band nature of the transition matrix are explored to simplify matrix multiplications.>

A parallel implementation of the extended Kalman filter (KF) for target tracking systems is presented. The decoupling technique is utilized to reduce computational requirements and to increase parallelism. Also, the properties of matrices in the tracking KF are exploited to simplify the implementation complexity.>