Spectral Compression Positioning™ (SCP) Method
SCP is a fundamental method for extracting useful ranging observables from broadband signals without explicit demodulation. With these observables it is possible to the sensor's precise position and time. The goal is to apply a relatively simple mathematical operation on a signal, which causes the collapse of the broadband emissions into one or more narrowband sinusoids. Then using coherent integration to provide process gain, these sinusoids are detected, noting the precise amplitude frequency and phase.

SCP Sensor Block Diagram Using the Delay and Multiply Technique
Almost every human structured RF signal is comprised of at least-one, typically multiple, periodic modulations, which have a fundamental sinusoid. Although they have been suppressed, these sinusoids can be extracted by means of spectral compression. The SCP provides the means to extract these fundamental periodic modulations, where the observed frequency, phase, and amplitude are functionally dependent upon the relative separation and separation rate between the signal source and an SCP sensor.
Depending on the type of periodic modulation, a different mathematical operation can be applied to extract useful observables. In practice, a combination of operations are used to support a broad variety of signals, which may include the following techniques:
- Delay and Multiply
- Integration/Decimation
- Partial Correlation
- Bandwidth Synthesis
