References
- E.P. Phillip, "Detecting and Classifying Low Probability of Intercept Radar," Boston, USA: Artech House, 2009, pp. 342-352.
- E. Fishler et al., "Spatial Diversity in Radars-Models and Detection Performance," IEEE Trans. Signal Process., vol. 54, no. 3, Mar. 2006, pp. 823-838. https://doi.org/10.1109/TSP.2005.862813
- C.G. Shi et al., "LPI Optimization Framework for Target Tracking in Radar Network Architectures Using Information-Theoretic Criteria," Int. J. Antennas Propag., vol. 2014, July 2014, pp. 1-10.
- B. Friedlander, "Waveform Design for MIMO Radars," IEEE Trans. Aerosp. Electron. Syst., vol. 43, no. 3, July 2007, pp. 1227-1238. https://doi.org/10.1109/TAES.2007.4383615
- P. Stoica, J. Li, and Y. Xie, "On Probing Signal Design for MIMO Radar," IEEE Trans. Signal Process., vol. 55, no. 8, Aug. 2007, pp. 4151-4161. https://doi.org/10.1109/TSP.2007.894398
- M.R. Bell, "Information Theory and Radar Waveform Design," IEEE Trans. Inf. Theory, vol. 39, no. 5, Sept. 1993, pp. 1578-1597. https://doi.org/10.1109/18.259642
- Y. Yang and R.S. Blum, "MIMO Radar Waveform Design Based on Mutual Information and Minimum Mean-Square Error Estimation," IEEE Trans. Aerosp. Electron. Syst., vol. 43, no. 1, Jan. 2007, pp. 330-343. https://doi.org/10.1109/TAES.2007.357137
- M.M. Naghsh et al., "Unified Optimization Framework for Multi-static Radar Code Design Using Information-Theoretic Criteria," IEEE Trans. Signal Process., vol. 61, no. 21, Nov. 2013, pp. 5401-5416. https://doi.org/10.1109/TSP.2013.2278154
- Y.F. Chen et al., "Adaptive Distributed MIMO Radar Waveform Optimization Based on Mutual Information," IEEE Trans. Aerosp. Electron. Syst., vol. 49, no. 2, Apr. 2013, pp. 1374-1385. https://doi.org/10.1109/TAES.2013.6494422
- L. Xu and Q.L. Liang, "Waveform Design and Optimization in Radar Sensor Network," IEEE Conf. Global Telecommun., Miami, FL, USA, Dec. 6-10, 2010, pp. 1-5.
- B. Tang, J. Tang, and Y.N. Peng, "MIMO Radar Waveform Design in Colored Noise Based on Information Theory," IEEE Trans. Signal Process., vol. 58, no. 9, Sept. 2010, pp. 4684-4697. https://doi.org/10.1109/TSP.2010.2050885
- R.A. Romero, J. Bae, and N.A. Goodman, "Theory and Application of SNR and Mutual Information Matched Illumination Waveforms," IEEE Trans. Aerosp. Electron. Syst., vol. 47, no. 2, Apr. 2011, pp. 912-927. https://doi.org/10.1109/TAES.2011.5751234
- P.M. Woodward, "Theory of Radar Information," Trans. IRE Professional Group Inf. Theory, vol. 1, no. 1, Feb. 1953, pp. 108-113. https://doi.org/10.1109/TIT.1953.1188560
- P.M. Woodward, "Information Theory and the Design of Radar Receivers," Proc. IRE, vol. 39, no. 12, Dec. 1951, pp. 1521-1524. https://doi.org/10.1109/JRPROC.1951.273638
- S.A. Kassam and H.V. Poor, "Robust Techniques for Signal Processing: A Survey," Proc. IEEE, vol. 73, no. 3, Mar. 1985, pp. 433-481. https://doi.org/10.1109/PROC.1985.13167
- Y. Yang and R.S. Blum, "Minimax Robust MIMO Radar Waveform Design," IEEE J. Sel. Topics Signal Process., vol. 1, no. 1, June 2007, pp. 147-155. https://doi.org/10.1109/JSTSP.2007.897056
- B. Jiu et al., "Minimax Robust Transmission Waveform and Receiving Filter Design for Extended Target Detection with Imprecise Prior Knowledge," Signal Process., vol. 92, no. 1, Jan. 2012, pp. 210-218. https://doi.org/10.1016/j.sigpro.2011.07.008
- Y.Q. Zhao, C.L. Yu, and H.P. Yin, "Research into the Anti-Common-Frequency Interference Technology Based on Code-Agility," Shipboard Electron. Countermeasure, vol. 36, no. 1, Jan. 2013, pp. 14-19.
- C.G. Shi, J.J. Zhou, and F. Wang, "Low Probability of Intercept Optimization for Radar Network Based on Mutual Information," IEEE China Summit Int. Conf. Signal Inf. Process., Xi'an, China, July 9-13, 2014, pp. 683-687.
- L.L. Wang et al., "Minimax Robust Jamming Techniques Based on Signal-to-Interference-Plus-Noise Ratio and Mutual Information Criteria," IET Commun., vol. 8, no. 10, July 2014, pp. 1859-1867. https://doi.org/10.1049/iet-com.2013.1054
Cited by
- Low probability of intercept-based adaptive radar waveform optimization in signal-dependent clutter for joint radar and cellular communication systems vol.2016, pp.1, 2016, https://doi.org/10.1186/s13634-016-0411-6
- Cramer-Rao Lower Bound Evaluation for Linear Frequency Modulation Based Active Radar Networks Operating in a Rice Fading Environment vol.16, pp.12, 2016, https://doi.org/10.3390/s16122072
- Adaptive resource management algorithm for target tracking in radar network based on low probability of intercept vol.29, pp.4, 2016, https://doi.org/10.1007/s11045-017-0494-8
- Robust Waveform Design for Multistatic Cognitive Radars vol.6, pp.None, 2016, https://doi.org/10.1109/access.2017.2782878
- Power Minimization-Based Robust OFDM Radar Waveform Design for Radar and Communication Systems in Coexistence vol.66, pp.5, 2018, https://doi.org/10.1109/tsp.2017.2770086
- Non‐cooperative game‐theoretic distributed power control technique for radar network based on low probability of intercept vol.12, pp.8, 2018, https://doi.org/10.1049/iet-spr.2017.0355
- Low probability of intercept‐based distributed MIMO radar waveform design against barrage jamming in signal‐dependent clutter and coloured noise vol.13, pp.4, 2016, https://doi.org/10.1049/iet-spr.2018.5212
- Demanded Dwell Time Reduction Based on Prior RCS Fluctuation Constraint in Target Tracking vol.2020, pp.None, 2016, https://doi.org/10.1155/2020/8833000