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- Petre Stoica, Arye Nehorai
- IEEE Transactions on Acoustics, Speech, and…
- 1989

The performance of the MUSIC and ML methods is studied, and their statistical efficiency is analyzed. The Cramer-Rao bound (CRB) for the estimation problems is derived, and some useful properties of the CRB covariance matrix are established. The relationship between the MUSIC and ML estimators is investigated as well. A numerical study is reported of the… (More)

- Jian Li, Petre Stoica, Zhisong Wang
- IEEE Trans. Signal Processing
- 2003

The Capon beamformer has better resolution and much better interference rejection capability than the standard (data-independent) beamformer, provided that the array steering vector corresponding to the signal of interest (SOI) is accurately known. However, whenever the knowledge of the SOI steering vector is imprecise (as is often the case in practice),… (More)

- Hemanth Sampath, Petre Stoica, Arogyaswami Paulraj
- IEEE Trans. Communications
- 2001

We address the problem of designing jointly optimum linear precoder and decoder for a MIMO channel possibly with delay-spread, using a weighted minimum mean-squared error (MMSE) criterion subject to a transmit power constraint. We show that the optimum linear precoder and decoder diagonalize the MIMO channel into eigen subchannels, for any set of error… (More)

- Anna Scaglione, Petre Stoica, Sergio Barbarossa, Georgios B. Giannakis, Hemanth Sampath
- IEEE Trans. Signal Processing
- 2002

In this paper we introduce a new paradigm for the design of transmitter space-time coding that we refer to as linear precoding. It leads to simple closed form solutions for transmission over frequency selective multiple-input multiple-output (MIMO) channels , which are scalable with respect to the number of antennas, size of the coding block and transmit… (More)

- Petre Stoica, Arye Nehorai
- IEEE Trans. Acoustics, Speech, and Signal…
- 1990

- Amir Beck, Petre Stoica, Jian Li
- IEEE Transactions on Signal Processing
- 2008

We consider least squares (LS) approaches for locating a radiating source from range measurements (which we call R-LS) or from range-difference measurements (RD-LS) collected using an array of passive sensors. We also consider LS approaches based on squared range observations (SR-LS) and based on squared range-difference measurements (SRD-LS). Despite the… (More)

- Petre Stoica, Yngve Selén
- IEEE Signal Processing Magazine
- 2004

The parametric (or model-based) methods of signal processing often require not only the estimation of a vector of real-valued parameters but also the selection of one or several integer-valued parameters that are equally important for the specification of a data model. Examples of these integer-valued parameters of the model include the orders of an… (More)

- Girish Ganesan, Petre Stoica
- IEEE Trans. Information Theory
- 2001

- Petre Stoica, Jian Li, Yao Jie Xie
- IEEE Transactions on Signal Processing
- 2007

A multiple-input multiple-output (MIMO) radar system, unlike a standard phased-array radar, can choose freely the probing signals transmitted via its antennas to maximize the power around the locations of the targets of interest, or more generally to approximate a given transmit beampattern, and also to minimize the cross-correlation of the signals… (More)