Tamed adaptive antenna array

Abstract

The adaptive array under directionally constrained minimization of power (DCMP) algorithm is improved by adding a "pseudonoise." It is effective to protect the desired signal from cancellation or distortion in such cases as 1) where a coberent interference is incident, or 2) where the desired signal direction for the constraint contains some pointing error, or 3) when the desired signal is broad band. The optimum amount of pseudonoise to be added is also discussed and its formula is given. This system is named "tamed adaptive antenna" since its killing capability is somewhat moderated so as not to hurt the desired signal.

A miniaturized adaptive microphone array under directional constraint utilizing aggregated microphones

“…It can be applied to hearing aids, 6 robot audition, 7-9 speech enhancement, 10 and so on. The delayand-sum array 11 and the adaptive microphone array [12][13][14] are well known as conventional sound focusing or noise reduction techniques with a microphone array. High-resolution algorithms, including the minimum variance method, 15 the minimum norm method, 16 and the multiple signal classification ͑MUSIC͒ method, 17 etc.…”

“…20 In this paper, we apply the Directionally Constrained Minimization of Power ͑DCMP͒ algorithm to the aggregated microphones in order to verify the applicability of the aggregated microphones. The DCMP algorithm of Takao et al 13,14 can be used to suppress the side-lobe echoes while maintaining the desired signal. The same principle is also used in Capon's minimum variance method.…”

M-CMA for digital signal processing adaptive antennas with microwave beamforming

“…(i=l, ...N) (6) In (6), AV is a minute voltage, which is added to the variable phase shifter connected to the i-th antenna element. Therefore, the variable phase shifter control voltage v,(i) and gain value gk are updated by the following equations.…”

The probabilistic approach to synthesis of signals adaptive spatial processing robust algorithms

“…But the question of, how to carry out this appropriate selection of G remains open. For the elementary case G = ai1 in [3] it is offered to choose CJ(: according to…”

“…As an example in [3] the diagrams, which show quality traditional and robust ( G = oiI) procedures in conditions of a priori uncertainty about properties of the signal, are shown.…”