Complex linear-quadratic systems for detection and array processing

Complex linear-quadratic systems for detection and array processing

D. R. Brillinger and M. Rosenhlatt, “Computation and interpretation of kth-order spectra,” in Spectral Analysis of Time Series, B. Harris, Ed. New York: Wiley, 1967, pp. 189-232. J. A. R. Fonollosa and J. Vidal, “System identification using a linear combination of cumulant slices,’’ IEEE Trans. Signal P rocexsing, vol. 41, no. 7, pp. 2405-2412, July 1993. F. R. Gantmacker, Applications oj’the T...

Complex fuzzy linear systems

Optimal Quadratic Array Detection

Quadratic time-frequency and time-scale representations (TFRs and TFRs) have been shown to be very useful for detecting nonstationary signals in the presence of nonstationary noise or interference. The theory developed thus far applies only to the case of a single observation; however, in many situations involving signal detection, there are advantages in using an array of receiving sensors. Se...

An Adaptive Processing of Linear Array for Target Detection Improvement

Antenna arrays yield multiple, simultaneous available beams. These beams can be made to have high gain, low side lobes and controlled beam width. In conventional beam forming, the smallest beam width depends on the geometric dimensions of the receiving array. This problem may overcome by the Hyper beam invention. The linear array when implemented using Hyper beam technique, there is a considera...

complex fuzzy linear systems