On Persymmetric Covariance Matrices in Adaptive Detection - CentraleSupélec Access content directly
Conference Papers Year : 2008

On Persymmetric Covariance Matrices in Adaptive Detection


In the general area of radar detection, estimation of the clutter covariance matrix is an important point. This matrix commonly exhibits a persymmetric structure: this is the case for instance for active systems using a symmetrically spaced linear array or pulse train. In this context, this paper provides a new Gaussian adaptive detector called the persymmetric adaptive matched filter (P-AMF). Its theoretical distribution is derived allowing adjustment of the detection threshold for a given probability of false alarm (PFA). Simulations results highlight the improvement in term of probability of detection (PD) of the P-AMF in comparison with the classical adaptive matched filter (AMF).
No file

Dates and versions

hal-00353608 , version 1 (15-01-2009)



G. Pailloux, Philippe Forster, Jean-Philippe Ovarlez, Frédéric Pascal. On Persymmetric Covariance Matrices in Adaptive Detection. 2008 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008), Mar 2008, Las Vegas, United States. ⟨10.1109/ICASSP.2008.4518107⟩. ⟨hal-00353608⟩
245 View
0 Download



Gmail Facebook X LinkedIn More