Abstract: The method for generating a secret key for encrypted wireless communications is a physical layer technique that exploits channel randomness between two nodes, the channel being characterized by reciprocity between the two nodes. Reference signals exchanged by the two nodes are used to faun a channel estimate, including gain location and phase location. The gain and phase locations are compared to threshold values, and locations exceeding the respective thresholds are stored in vectors. The moving differences between gain and phase locations at adjacent sampling times define secondary random processes. The moving difference values are quantized and converted to bit streams, which are concatenated to generate the secret key. Measures are provided to reduce parity errors, thereby reducing the bit mismatch rate (BMR).

Abstract: The method and apparatus for angle of arrival estimation are used for estimating the angle of arrival of a received signal by a switched beam antenna array and a single receiver. The switched beam antenna array first collects an omnidirectional signal to be used as a reference signal. A main beam thereof is then switched to scan an angular region of interest. The collected signals from the switched beams are cross-correlated with the reference signal. The cross-correlation coefficient is the highest at the true angle of arrival and relatively negligible otherwise. The collected signal from each beam angle is cross-correlated with the omnidirectional reference signal to determine the angle of arrival of the received signal.

Abstract: A method for suggesting transliteration for user inputs, comprising: receiving an original user input composed of alpha-numeric characters; identifying the possibility of transliterating the input; determining at least one potential transliteration by performing at least one of the following (1) replacing a sequence of characters in the original input to a possible sequence of Arabic characters (2) determining the probabilities of the potential transliterated alternatives to the user input; and electing the most likely transliteration according to some predetermined criteria (3) verifying the suggested output against a validation repository, the validation repository having a large corpus of Arabic words.