Spatial energy rank detector and high-speed alarm

A method of identifying a narrowband signal within a wide instantaneous bandwidth, the method comprising:

• receiving, by a processor, a plurality of output signals;
• filtering, by the processor, at least a portion of the plurality of output signals to a narrow bandwidth of interest to produce a plurality of filtered signals;
• estimating, by the processor, a plurality of covariance matrices, wherein each of the plurality of covariance matrices is associated with one of the plurality of filtered signals;
• determining, by the processor, an Eigenvalue for two or more of the plurality of covariance matrices, thereby producing a set of Eigenvalues;
• analyzing, by the processor, each of the set of Eigenvalues to determine a rank change estimate for at least a portion of the plurality of filtered signals;
• identifying, by the processor, one or more of the plurality of filtered signals that have a positive rank change estimate;
• computing, by the processor, a beam forming weight and direction estimate for the one or more of the plurality of filtered signals that have with a positive rank change estimate;
• and
• outputting, by the processor, an indication of the one or more of the plurality of filtered signals that have a positive rank change estimate, the indication comprising one or more of fine timing information, the beam forming weight, and the direction estimate.

A computer program product comprising one or more non-transitory machine-readable mediums encoded with instructions that when executed by one or more processors cause a process to be carried out for identifying a narrowband signal within a wide instantaneous bandwidth, the process comprising:

• receiving a plurality of output signals;
• filtering at least a portion of the plurality of output signals to a narrow bandwidth of interest to produce a plurality of filtered signals;
• estimating a plurality of covariance matrices, wherein each of the plurality of covariance matrices is associated with one of the plurality of filtered signals;
• determining an Eigenvalue for two or more of the plurality of covariance matrices, thereby producing a set of Eigenvalues;
• analyzing each of the set of Eigenvalues to determine a rank change estimate for at least a portion of the plurality of filtered signals;
• identifying one or more of the plurality of filtered signals that have a positive rank change estimate;
• computing a beam forming weight and direction estimate for the one or more of the plurality of filtered signals that have a positive rank change estimate;
• and
• outputting an indication of the one or more of the plurality of filtered signals that have a positive rank change estimate, the indication comprising one or more of fine timing information, the beam forming weight, and the direction estimate.