Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Braham Himed"'
Autor:
Azer P. Shikhaliev, Braham Himed
Publikováno v:
IEEE Transactions on Signal Processing. 71:388-400
Publikováno v:
IEEE Transactions on Signal Processing. 66:5577-5587
This paper deals with the problem of detecting a subspace signal in the presence of spatially and temporally colored disturbance. A new subspace parametric signal model that takes into account a multi-rank subspace structure for the target signal and
Publikováno v:
IEEE Transactions on Signal Processing. 65:617-627
This paper deals with the problem of detecting a moving range-spread target in distributed MIMO radar. A new knowledge-aided (KA) model that takes into account the nonhomogenous characteristics of the disturbance (clutter and noise) in distributed MI
Publikováno v:
IEEE Transactions on Signal Processing. 69:3235-3235
In the above-named work, [ibid., xxx], there is a typo in the position of the first conjugate operator. The correct definition of the first conjugate operator BN is provided.
Publikováno v:
IEEE Transactions on Signal Processing. 64:3619-3634
In this paper, we consider the problem of tracking multiple targets in a passive multi-static radar system using Doppler-only measurements. The number of targets is assumed unknown and time-varying. The Doppler measurements are subject to additive no
Publikováno v:
IEEE Transactions on Signal Processing. 64:630-640
We consider the problem of joint delay-Doppler estimation of a moving target in a passive radar that employs a non-cooperative illuminator of opportunity (IO) for target illumination, a reference channel (RC) steered to the IO to obtain a reference s
Publikováno v:
IEEE Transactions on Signal Processing. 62:5930-5939
This paper considers the problem of passive detection with a multistatic radar system involving a noncooperative illuminator of opportunity (IO) and multiple receive platforms. An unknown source signal is transmitted by the IO, which illuminates a ta
Publikováno v:
ICASSP
In this paper, a knowledge-aided parametric adap- tive matched filter (KA-PAMF) is proposed that utilizing both observations (including the test and training signals) and ap riori knowledge of the spatial covariance matrix. Unlike existing KA-PAMF me
Publikováno v:
IEEE Transactions on Signal Processing. 62:3013-3023
This work addresses the problem of target detection in passive multiple-input multiple-output (MIMO) radar networks without utilization of direct-path reference signals. A generalized likelihood ratio test for this problem is derived, and the distrib
Publikováno v:
IEEE Transactions on Signal Processing. 61:2282-2294
This paper considers moving target detection (MTD) with distributed multi-input multi-output (MIMO) radars in non-homogeneous environments, where the received disturbance signal (clutter and noise) exhibits non-homogeneity in not only power but also