Abstract: The present invention relates to a blind detection of a received signal having at least one property, which initially is unknown to the receiver, however, limited to a finite set of alternatives ({p1, p2, . . . , pm}). According to the invention, the unknown property is automatically identified as follows. A respective quality measure (q1, q2, . . . , qm) is derived from the incoming signal (r(n)), which each represents a particular property in the finite set of alternatives ({p1, p2, . . . , pm}). The quality measures (q1, q2, . . . , qm) are obtained according to a procedure that involves a computationally efficient rejection of any unwanted signal components in the incoming signal (r(n)). Then, the quality measures (q1, q2, . . . , qm) are compared with each other in order to find a quality measure, which best fulfills a blind selection criterion. The quality measure (qi) thus obtained corresponds to the initially unknown property (pi).

Abstract: The present invention relates to a blind detection of a received signal having at least one property, which initially is unknown to the receiver, however, limited to a finite set of alternatives ({p1, p2, . . . , pm}). According to the invention, the unknown property is automatically identified as follows. A respective quality measure (q1, q2, . . . , qm) is derived from the incoming signal (r(n)), which each represents a particular property in the finite set of alternatives ({p1, p2, . . . , pm}). The quality measures (q1, q2, . . . , qm) are obtained according to a procedure that involves a computationally efficient rejection of any unwanted signal components in the incoming signal (r(n)). Then, the quality measures (q1, q2, . . . , qm) are compared with each other in order to find a quality measure, which best fulfils a blind selection criterion. The quality measure (qi) thus obtained corresponds to the initially unknown property (pi).