Download 55.Signal Processing by John G. Webster (Editor) PDF

By John G. Webster (Editor)

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Extra resources for 55.Signal Processing

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Given an M-pulse CPI, space–time adaptive filter outputs are computed for all elements over a sliding window of sub-CPIs with length-Kt pulses, resulting in M = M − Kt + 1 adaptive filters. These M adaptive filter outputs are then coherently combined using an M -pulse Doppler filter. Adaptation over sub-CPIs can mitigate interference that varies faster than the CPI length. Expressed using matrices, the adaptive weight vector for this STAP algorithm is Radar, Adaptive Figure 8. STAP radar signal-processing chain.

Compton, Jr. Adaptive Antennas, Englewood Cliffs, NJ: Prentice-Hall, 1988. 8. S. , Upper Saddle River, NJ: Prentice-Hall, 1996. 9. A. Farina Electronic counter-countermeasures, inM. I. , New York: McGraw-Hill, 1990. 10. A. Farina Antenna-Based ECCM Techniques for Radar Systems, Norwood, MA: Artech House, 1992. 11. L. E. Brennan J. D. Mallett I. S. Reed Adaptive arrays in airborne MTI radar, IEEE Trans.

STAP algorithms are compared by examining the SINR loss they achieve (see the sub-subsection “SINR and SINR Loss” above). Because pulse–Doppler radars operate by transmitting a beam of energy in a given direction, then examining the radar echoes for the presence of targets at any speed, the SINR loss is plotted as a function of target Doppler frequency at a fixed direction of interest. The minimum detectable velocity is then derived from this plot. Sample support for covariance matrix estimation is obtained from the radar’s rangegates.

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