Velocity deception jamming discrimination using quantization effect
In this letter, the effects of number of quantization levels are studied in the airborne digital radio frequency memory (DRFM). The artificial signal, produced by DRFM, has quantized amplitude that results in different cross-correlations (with respect to the real target echo signal), when correlated by continuous reference signal. The proposed method includes a technique to release from the estimation of amplitude fluctuations. Then, a closed-form expression is presented for likelihood ratio test discrimination. Simulation results prove the efficiency and robustness of the proposed method.
KeywordsDeception jamming Digital radio frequency memory Quantization levels Likelihood ratio test
- 7.Aslett, M. (2015). Mercury Co. [Online]. Retrieved March, 2017 from https://mrcy.com/products/microwave-rf/drfm/.
- 13.Nouri, M., Mivehchy, M., & Aghdam, S. A. (2015). Adaptive time-frequency kernel local fisher discriminant analysis to distinguish range deception jamming. IEEE conference on computing, communication and networking technologies (ICCCNT) (pp. 1–5).Google Scholar
- 15.Olivier, K., & Gouws, M. (2013). Modern wideband DRFM architecture and real-time DSP capabilities for radar test and evaluation. In Saudi international conference of electronics, communications and photonics (pp. 1–4).Google Scholar
- 16.Skolnik, M. I. (1962). Introduction to radar. In M. I. Skolnik (Ed.), Radar handbook. New York: McGraw-Hill.Google Scholar