Matched filter response of a linear array with time-varying phase weights

Abstract

levels. Finally, the algorithm presented here allows the computation of the requisite number of filters in a dynamic environment in which the constraints (and hence the optimal filter bank) change over time.On sub optimal detection of three-dimensional moving targets.Phased-array antennas used in radars to transmit broadband linear frequency modulated (LFM) signals suffer from array dispersion. Array dispersion causes decreases in the matched mter slgnal-to-nolse ratio and the range resolution of the radar.By allowing the phase weights to vary in time the amount of array dispersion can be greatly reduced and the useful instantaneous bandwidth of the array increased Results are presented for the array output and matched mter response for a linear array using .time-varying phase weights and are compared with a traditional phased array.

Chirp-Based FHSS Receiver with Recursive Symbol Synchronization for Underwater Acoustic Communication

“…Figure 3b shows the matched filter result, which is the cross-correlation function between the “Symbol Mapping #1” and “Symbol Mapping #2” in any hopping pattern. Since “Symbol Mapping #1” and “Symbol Mapping #2” have different slopes, the maximum point of the matched filter result cannot be correctly represented, and the magnitude is less than the ideal value [29].…”