Interception of Multiple Low-Power Linear Frequency Modulated Continuous Wave Signals

Many modern radar systems are overcoming the need for highpower transmitters by utilizing low peak-power, high duty-cycle waveforms, making noncooperative detection methods by traditional electronic surveillance a difficult task. This technological difficulty is driving a need for computationally tr...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on aerospace and electronic systems 2017-04, Vol.53 (2), p.789-804
Hauptverfasser: Hamschin, Brandon M., Ferguson, John D., Grabbe, Michael T.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Many modern radar systems are overcoming the need for highpower transmitters by utilizing low peak-power, high duty-cycle waveforms, making noncooperative detection methods by traditional electronic surveillance a difficult task. This technological difficulty is driving a need for computationally tractable detection and characterization algorithms. Here, a practical method for detecting and fully characterizing an arbitrary number of low-power linear frequency modulated continuous wave (LFMCW) radar signals is achieved by dividing the time-domain signal into contiguous segments and treating each signal segment as a sum of harmonic components corrupted by noise with an unknown, time-varying power spectral density. This method is developed analytically and evaluated experimentally, revealing that the practicality of the method comes at the expense of a loss in estimation accuracy when compared to the Cramer-Rao lower bound. Experimental results indicate that the parameters of two simultaneous LFMCW signals can be estimated to within 10% of their true values with probability greater than 90% when input signal-to-noise ratios are -10 dB and above with a 25 MHz bandwidth receiver.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2017.2665140