| CPC G08G 5/0026 (2013.01) [G01S 3/043 (2013.01); G01S 3/046 (2013.01); G01S 3/46 (2013.01); G06N 3/08 (2013.01); G06N 7/01 (2023.01); G08G 5/0069 (2013.01)] | 20 Claims |

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1. A system for signal identification in a radiofrequency (RF) environment, comprising:
at least one node device including a processor and memory in communication with at least one RF receiver;
wherein the at least one RF receiver is operable to capture RF data in the RF environment and transmit the RF data to the at least one node device;
wherein the RF data includes location information of at least one signal of interest;
wherein the at least one node device is operable to average Fast Fourier Transform (FFT) data derived from the RF data into at least one tile;
wherein the at least one tile is represented as at least one waterfall image;
wherein the at least one node device is operable to provide artificial intelligence (AI) or machine learning (ML) image analysis of the at least one waterfall image to identify the at least one signal of interest;
wherein the at least one waterfall image includes a visual indication of the at least one signal of interest;
wherein the AI or ML image analysis includes a ML frequency hopping algorithm to determine a frequency hopping pattern of the at least one signal of interest based on the at least one waterfall image; and
wherein the at least one node device is operable to compare the location information of the at least one signal of interest to information for at least one location of interest;
wherein the location information for the at least one signal of interest is displayed on at least one user interface as at least one line of bearing.
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