Title :
A signal subspace approach for interference locations in adaptive antenna arrays
Author_Institution :
Villanova Univ., PA, USA
Abstract :
Closed-loop adaptive weights corresponding to different mainbeam directions are shown to have sufficient information which can be processed by eigenstructure methods to yield the signal and noise subspaces without the need for an estimate of the covariance matrix. Since adaptive algorithms can be implemented using continuous-time adaptive loops, locating the interferences using only the adaptive weights provides an option to avoid sampling and, in turn, eliminates the need for the data snap shots. This option is important to consider when operating at high frequency and with large signal bandwidth. The combined adaptive-eigenstructure approach is presented using exact statistics and the assumption of narrow-band uncorrelated jamming sources.<>
Keywords :
antenna phased arrays; interference suppression; signal processing; CANAL approach; adaptive algorithms; adaptive antenna arrays; closed-loop adaptive weights; eigenstructure methods; interference locations; signal subspace approach; Adaptive algorithm; Bandwidth; Covariance matrix; Frequency; Interference elimination; Narrowband; Signal processing; Signal sampling; Statistics; Yield estimation;
Conference_Titel :
Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on
Conference_Location :
Rochester, NY, USA
DOI :
10.1109/SPECT.1990.205598