Generalized angle-based tracker (GABT)

A computer readable medium having instructions to perform the steps for a Radio Frequency (RF) generalized angle-based tracker using only angle-based information from a target emitter source, whereby a type of said target is determined comprising:

• receiving a source target emitter signal in real time;
• determining angle-based information for said target emitter source from said received signal;
• initializing a Stationary Surface Filter (SSF), a Moving Surface Filter (MSF), and a Pseudorange Kalman Filter (PKF) with said angle-based information;
• scoring said SSF and MSF by said PKF, whereby if said angle-based information is associated by exceeding a likelihood ratio threshold, then update said SSF, said MSF, and said PKF;
• determining if at least one plausible, nonzero likelihood, Constituent Kalman Filter (CKF) exists for each of said SSF and said MSF;
• if at least one plausible, nonzero likelihood, CKF exists for said SSF and no CKF exists for said MSF, then classify said target as a surface-level stationary target;
• if at least one plausible, nonzero likelihood, CKF exists for said MSF and no CKF exists for said SSF, then classify said target as a surface-level moving target;
• if no plausible, nonzero likelihood, CKF exists for both said SSF and said MSF, then classify said target as an airborne moving target;
• if said angle-based information is not associated, due to likelihood values of zero, then receive a subsequent signal from said target emitter source and determine angle-based information for said target emitter source from said received signal, and initiate said SSF, MSF, and PKF;
• whereby said type of said target is provided to a user.

A method of signals tracking performing generalized angle-based tracking, using only angle-based information from a target emitter source, comprising:

• receiving, in real-time, a source target emitter signal;
• determining angle-based information for said target emitter source from said received signal;
• initializing a Stationary Surface Filter (SSF), a Moving Surface Filter (MSF), and a Pseudorange Kalman Filter (PKF) with said angle-based information;
• scoring said SSF and MSF by said PKF, whereby if said angle-based information is associated by exceeding a likelihood ratio threshold, then update said SSF, said MSF, and said PKF;
• determining if at least one plausible, nonzero likelihood, Constituent Kalman Filter (CKF) exists for each of said SSF and said MSF;
• if at least one plausible, nonzero likelihood, CKF exists for said SSF and no CKF exists for said MSF, then classify said target as a surface-level stationary target;
• if at least one plausible, nonzero likelihood, CKF exists for said MSF and no CKF exists for said SSF, then classify said target as a surface-level moving target;
• if no plausible, nonzero likelihood, CKF exists for both said SSF and said MSF, then classify said target as an airborne moving target;
• if said angle-based information is not associated, due to likelihood values of zero, then receive a subsequent signal from said target emitter source and determine angle-based information for said target emitter source from said received signal, and initiate said SSF, MSF, and PKF;
• whereby a type of said target emitter source is provided to a user.