MINIMUM-REDUNDANCY LINEAR ARRAYS FOR CYCLOSTATIONARITY-BASED SOURCE LOCATION

The problem of designing minimum-redundancy linear arrays (MRLA's) and appropriate augmentation techniques to be utilized with cyclostationa rity-exploiting (cyclic) methods for source location is addressed, The MRLA geometries proposed in the literature for the conventional case, which apply equally well when the signals of interest exhibit cyclost ationarity are not appropriate when they exhibit conjugate cyclostatio narity, In this case, the problem of finding optimal MRLA's is restate d as the problem of number theory that is commonly referred to as the postage stamp problem. Results of computer simulations show that in de nsely crowded environments, the use of cyclic methods with MRLA geomet ries and appropriate matrix augmentation techniques can offer a signif icant performance improvement on cyclic methods that do not resort to matrix augmentation techniques.