Interception of Multiple Low-Power Linear Frequency Modulated Continuous Wave Signals
| Autor: | J. D. Ferguson, Brandon Hamschin, Michael T. Grabbe |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
020301 aerospace & aeronautics
Engineering business.industry Pulse-Doppler radar Aerospace Engineering Spectral density 020206 networking & telecommunications 02 engineering and technology Signal Passive radar Continuous-wave radar Space-time adaptive processing Signal-to-noise ratio 0203 mechanical engineering 0202 electrical engineering electronic engineering information engineering Electronic engineering Electrical and Electronic Engineering business Algorithm Low probability of intercept radar |
| Zdroj: | IEEE Transactions on Aerospace and Electronic Systems. 53:789-804 |
| ISSN: | 0018-9251 |
| DOI: | 10.1109/taes.2017.2665140 |
| Popis: | Many modern radar systems are overcoming the need for high-power 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 ex-pense 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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