Large scale radio frequency signal information processing and analysis system using bin-wise processing
A large-scale radio frequency signal information processing and analysis system that provides advanced signal analysis for telecommunication applications, including band capacity and geographical density determinations and detection, classification, identification, and geolocation of signals across a wide range of frequencies and across broad geographical areas. The system may utilize a range of novel algorithms for bin-wise processing, Rayleigh distribution analysis, telecommunication signal classification, receiver anomaly detection, transmitter density estimation, transmitter detection and location, geolocation analysis, telecommunication activity estimation, telecommunication utilization estimation, frequency utilization estimation, and data interpolation.
1. A system for filling in gaps in sampled signal data, comprising:
a computing device comprising a memory and a processor; and
a data interpolator, comprising a plurality of programming instructions stored in the memory of, and operating on the processor of, the computing device, wherein the plurality of programming instructions, when operating on the processor, causes the computing device to:
receive signal information;
combine samples in the time domain using a statistical technique rather than a measured value of the data sample to obtain a time domain statistical value;
combine samples in the frequency domain using a statistical technique rather than a measured value of the data sample to obtain a frequency domain statistical value;
fill in missing sample data by applying an interpolation technique based on the statistical values; and
where applicable, apply a reverse propagation model using the statistical values to determine transmitter antenna patterns, and use the statistical values to improve propagation models.
2. A method for filling in gaps in sampled signal data, comprising the steps of:
receiving signal information;
combining samples in the time domain using a statistical technique rather than a measured value of the data sample to obtain a time domain statistical value;
combining samples in the frequency domain using a statistical technique rather than a measured value of the data sample to obtain a frequency domain statistical value;
filling in missing sample data by applying an interpolation technique based on the statistical values; and
where applicable, applying a reverse propagation model using the statistical values to determine transmitter antenna patterns, and using the statistical values to improve propagation models.