A Center Cutting Plane Algorithm for a Likelihood Estimate by Raupp F.

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10 presents measured PSD of the received RF signal at two distances from the transmitting antenna (1 and 10 m). As one can see, already at 10 m the signal PSD is at the level or below the background RF noise. This shows a potential for using CPPM systems in applications requiring low probability of detection. Here we use the results of the experimental analysis of radiated pulse signals to illustrate the advantages of CPPM over more conventional communications schemes in the area of low probability of detection.

Rulkov et al. for the CPPM controller to self-synchronize and to maintain the stability of the communication link. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Fig. 16. Typical structure of errors shown in 20 consecutive measured data streams each of length ∼170 msec transmitted at ∼2 min intervals. Each strip presents 10,000 bits which are transmitted with the CPPM method. White intervals of the strips mark blocks of data received without errors. Narrow black ribbons in the middle of strips mark the blocks of the data received with errors.

Rosa, S. Hayes, and C. Grebogi, Noise filtering in communication with chaos. Phys. Rev. , vol. 78(7), pp. 1247–1250, 1997. 34. N. F. Rulkov and A. R. Volkovskii, Threshold synchronization of chaotic relaxation oscillations, Physics Letters A, vol. 179(4-5), pp. 332–336, 1993. 35. H. Torikai, T. Saito, and W. Schwartz, Synchronization via multiplex pulse trains, IEEE Trans. Circuits Syst. - I, vol. 46(9), 1072–1085, 1999. 36. T. L. Carroll, Communicating with use of filtered, synchronized, chaotic signals, IEEE Trans.

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