Article
Diversity-Integration Tradeoffs in MIMO Detection
DIET, Univ. degli Studi di Napoli Federico II, Naples
IEEE Transactions on Signal Processing (impact factor:
2.63).
11/2008;
DOI:10.1109/TSP.2008.928693
pp.5051 - 5061
Source: IEEE Xplore
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Citations (0)
- Cited In (4)
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Article: Reducing the Waveform Cross Correlation of MIMO Radar With Space–Time Coding
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ABSTRACT: Multiple-input-multiple-output (MIMO) radar is attractive for target detection, parameter identification, and target classification due to diversity of waveform and perspective. However, the mutual interference among the waveforms may lead to performance degradation in resolving spatially close returns. In this paper, we consider the use of space-time coding (STC) to mitigate the waveform cross-correlation effects in MIMO radar. First, it turns out that a joint waveform optimization problem can be decoupled into a set of individual waveform design problems. Second, a number of monostatic waveforms can be directly used in a MIMO radar system, which offers flexibility in waveform selection. We provide conditions for the elimination of waveform cross correlation, and discuss four kinds of space time codes. In addition, we also extend the model to partial waveform cross-correlation removal based on waveform set division. Numerical results demonstrate the effectiveness of STC in MIMO radar for waveform decorrelation.IEEE Transactions on Signal Processing 09/2010; · 2.63 Impact Factor -
Article: Space-Time Coding for MIMO Radar Detection and Ranging
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ABSTRACT: Space-time coding (STC) has been shown to play a key role in the design of MIMO radars with widely spaced antennas: In particular, rank-one coding amounts to using the multiple transmit antennas as power multiplexers, while full-rank coding maximizes the transmit diversity, compromises between the two being possible through rank-deficient coding. In detecting a target at known distance and Doppler frequency, no uniformly optimum transmit policy exists, and diversity maximization turns out to be the way to go only in a (still unspecified) large signal-to-noise ratio region. The aim of this paper is to shed some light on the optimum transmit policy as the radar is to detect a target at an unknown location: To this end, at first the Cramér-Rao bounds as a function of the STC matrix are computed, and then waveform design is stated as a constrained optimization problem, where now the constraint concerns also the accuracy in target ranging, encapsulated in the Fisher Information on the range estimate. Results indicate that such accuracy constraints may visibly modify the required transmit policy and lead to rank-deficient STC also in regions where pure detection would require pursuing full transmit diversity.IEEE Transactions on Signal Processing 01/2011; · 2.63 Impact Factor -
Article: Moving Target Parameters Estimation in Non-Coherent MIMO Radar Systems
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ABSTRACT: The problem of estimating the parameters of a moving target in multiple-input multiple-output (MIMO) radar is considered and a new approach for estimating the moving target parameters by making use of the phase information associated with each transmit-receive path is introduced. It is required for this technique that different receive antennas have the same time reference, but no synchronization of initial phases of the receive antennas is needed and, therefore, the estimation process is non-coherent. We model the target motion within a certain processing interval as a polynomial of general order. The first three coefficients of such a polynomial correspond to the initial location, velocity, and acceleration of the target, respectively. A new maximum likelihood (ML) technique for estimating the target motion coefficients is developed. It is shown that the considered ML problem can be interpreted as the classic "overdetermined" nonlinear least-squares problem. The proposed ML estimator requires multi-dimensional search over the unknown polynomial coefficients. The Cram\'er-Rao Bound (CRB) for the proposed parameter estimation problem is derived. The performance of the proposed estimator is validated by simulation results and is shown to achieve the CRB.01/2012;
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Keywords
arbitrary
arbitrary time-correlation
design criteria
detection probability
false alarm
generalized likelihood ratio test
inherent tradeoff
linearly independent
optimized space-time code
power-limited systems
signal space
signals
transmit diversity paths
transmitted waveforms
uniformly optimum waveform design strategy
waveforms