Space-time adaptive radar performance in heterogeneous clutter

By W. Melvin. IEEE Transactions on Aerospace and Electronic Systems, 2000

393 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/d3e93517888fa3d9bdbe1fa00ac4a7307336d01b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Giuseppe Ricci
2. Antonio De Maio
3. Joseph R. Guerci
4. Ernesto Conte

In Signal Processing

1. Giuseppe Ricci
2. Antonio De Maio
3. Joseph R. Guerci
4. Ernesto Conte

Citations in the corpus

• GLRT-based adaptive detection algorithms for range-spread targets (2001, background): “geneity of the secondary data, has shown that inhomogeneities magnify the loss between the adaptive implementation and optimum conditions [16]–[18].”
• Space-Time Adaptive Processing for Radar (2003, methodology): “First, define the taper efficiency ratio, h eff , as the ratio of the tapered output SNR (SNRtap ) to optimal SNR (SNRopt ); that is, 22 Space-Time Adaptive Processing for Radar h eff = SNRtap SNRopt (2.26) = |w′s |2 N where (2.24) was invoked.”
• Recursive estimation of the covariance matrix of a compound-Gaussian process and its application to adaptive CFAR detection (2002, methodology): “However, although robust with respect to , under several situations of relevant interest, the -ANMF is not theoretically CFAR [ 13 ].”
• Implementing digital terrain data in knowledge-aided space-time adaptive processing (2006, background): “Melvin [2] has modeled STAP performance with respect to heterogeneous clutter and has demonstrated that, in specific cases, loss in signal-to-interferenceplus-noise ratio (SINR) can be greater than 16 dB.”