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Additional resources for 55.Signal Processing
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.
12 Radar, Adaptive The proof of this last fact is a short computation. The log likelihood of the secondary data is l(z1 , . . , zK |R) = −K(tr ˆ + log det R) + constants. From the ﬁrst-order terms R−1 R of the Taylor series over several CPIs. Of course, if one CPI is used per scan, there is no difference between the two. Swerling models III and IV are identical except that a χ2 2 model is used. Others have suggested using more degrees of freedom for some targets, based on experimental data. Sometimes Marcum’s nonﬂuctuating model is called a Swerling model with inﬁnite degrees of freedom because fR (r) → δ(r − r¯ ) as ν → ∞.
In the case of the PRI-staggered postDoppler (or multiwindow post-Doppler) STAP algorithm, a time-dependent series of Doppler ﬁlter outputs are formed from a sequence of sub-CPIs, then space–time adaptivity is performed using these Doppler outputs at every antenna element. Because pulse Doppler radars generally have very good pulse-to-pulse stability, Doppler ﬁlter banks with very low sidelobes (typically 60 dB or better) may be constructed, allowing post-Doppler STAP approaches to nonadaptively eliminate clutter interference away from the Doppler cell of interest.