Coherent radar detection in log-normal clutter

The paper deals with the problem of radar detection of a target echo embedded in log-normal clutter and white Gaussian noise. Relevant features of this article, with respect to previous papers on the same subject, refer to the coherent model assumed for the clutter and the processing chain. In more detail, the in-phase and quadrature components of clutter have been modelled to give a log-normal amplitude distribution and a near uniform distribution of the phase. Any shape of the correlation among consecutive clutter samples is also allowed in the model. At the same time, the processing chain is also coherent, i.e. it operates on the two components of the signals. Two architectures have been considered for the processor. The first, used in current practice, is formed of a linear transversal filter (for the clutter attenuation and the target echo enhancement) cascaded with a quadratic envelope detector and a comparison with a suitable threshold. The second processor considered differs from the previous one in the filter for clutter cancellation. A nonlinear homomorphic filter has been conceived to obtain a better suppression of clutter. The detection performance of the two processing chains have been evaluated, by means of computer simulation, in a number of operational cases of intrest. The paper gives a first contribution to the problem of finding better models of disturbance and of deriving more efficient processing chains.

[1]  Matsuo Sekine,et al.  On Weibull-Distributed Weather Clutter , 1979, IEEE Transactions on Aerospace and Electronic Systems.

[2]  W. J. Szajnowski Generation of correlated log-normal clutter samples , 1976 .

[3]  D. C. Schleher MTI detection loss in clutter , 1981 .

[4]  R. Fante,et al.  Detection of multiscatter targets in K -distributed clutter , 1984 .

[5]  E. Jakeman,et al.  A model for non-Rayleigh sea echo , 1976 .

[6]  G. Pollon Statistical parameters for scattering from randomly oriented arrays, cylinders, and plates , 1970 .

[7]  D. Schleher,et al.  Radar signal processing using digital nonlinear filters , 1977 .

[8]  Emad Al-Hussaini,et al.  The Nonparametric Detection of Signals Embedded in Log-Normal Noise , 1978, IEEE Transactions on Aerospace and Electronic Systems.

[9]  R. Fante,et al.  Probability of Detecting a Fluctuating Target Immersed in Both Noise and Clutter , 1977, IEEE Transactions on Aerospace and Electronic Systems.

[10]  D. Schleher,et al.  Radar Detection in Weibull Clutter , 1976, IEEE Transactions on Aerospace and Electronic Systems.

[11]  Michel C. Jeruchim,et al.  Techniques for Estimating the Bit Error Rate in the Simulation of Digital Communication Systems , 1984, IEEE J. Sel. Areas Commun..

[12]  D. Schleher,et al.  Harbor surveillance radar detection performance , 1977 .

[13]  L.E. Brennan,et al.  Theory of Adaptive Radar , 1973, IEEE Transactions on Aerospace and Electronic Systems.

[14]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[15]  M. W. Long Radar reflectivity of land and sea , 1983 .

[16]  A. Farina,et al.  Application of Gram-Schmidt algorithm to optimum radar signal processing , 1984 .

[17]  W. Szajnowski Discrimination Between Log-Normal and Weibull Clutter , 1977, IEEE Transactions on Aerospace and Electronic Systems.

[18]  G. Trunk Radar Properties of Non-Rayleigh Sea Clutter , 1972, IEEE Transactions on Aerospace and Electronic Systems.

[19]  A. Farina Single Sidelobe Canceller: Theory and Evaluation , 1977, IEEE Transactions on Aerospace and Electronic Systems.

[20]  J. Jao Amplitude distribution of composite terrain radar clutter and the κ-Distribution , 1984 .

[21]  D. Curtis Schleher Automatic Detection and Radar Data Processing , 1980 .

[22]  S. F. George,et al.  Detection of Targets in Non-Gaussian Sea Clutter , 1970, IEEE Transactions on Aerospace and Electronic Systems.

[23]  D. C. Schleher,et al.  Radar detection in log-normal clutter , 1975 .

[24]  R. Harger On the characterization and likelihood functional of lognormal random processes (Corresp.) , 1970, IEEE Trans. Inf. Theory.