In this letter, the problem of joint angle and array gain-phase error estimation for bistatic multiple-inputmultiple-output (MIMO) radar is investigated, and an algorithm for joint estimation with the characteristics...
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In this letter, the problem of joint angle and array gain-phase error estimation for bistatic multiple-inputmultiple-output (MIMO) radar is investigated, and an algorithm for joint estimation with the characteristics of multiple signal classification (MUSIC) is proposed. Through reduced-dimension transform, the angles can be obtained via two one-dimensional peak searches, and the array gain-phase error can be estimated by utilizing the estimated angles. The proposed algorithm can achieve automatically paired estimations of the angles, and is suitable for non-uniform linear array. For the case of separately-located ca-librated sensors, the algorithm can also work well. Furthermore, it has better angle and array gain-phase error estimation performance than the ESPRIT-like algorithm. The simulation results verify the algorithmic effectiveness and robustness of our proposed algorithm.
This letter considers adaptive target detection problem using multiple-inputmultiple-output (MIMO) radar in the presence of spatially heterogeneous clutter. The covariances of the primary data and secondary data for ...
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This letter considers adaptive target detection problem using multiple-inputmultiple-output (MIMO) radar in the presence of spatially heterogeneous clutter. The covariances of the primary data and secondary data for the same and different transmit-receive pairs are modeled as different random matrices with partial priori knowledge of the environment. Two-step strategy is employed to design adaptive detector. Specifically, we first obtain the generalized likelihood ratio test (GLRT) detector by assuming the known matrices. Then, we derive the maximum posteriori (MAP) estimator of the covariance matrices by exploiting the priori information, and replace the given covariance matrices in the obtained GLRT with MAP estimates. Finally, we evaluate the proposed adaptive detector via numerical simulations.
We study the waveform design problem for a multiple-inputmultiple-output over-the-horizon (MIMO-OTH) radar system faced with a combination of additive Gaussian noise and signal dependent clutter. Considering the oper...
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ISBN:
(纸本)9781479903566
We study the waveform design problem for a multiple-inputmultiple-output over-the-horizon (MIMO-OTH) radar system faced with a combination of additive Gaussian noise and signal dependent clutter. Considering the operational frequency of the MIMO-OTH radar is generally limited to a certain frequency band due to propagation and implementation issues, the waveform transmitted at each antenna is constructed as a weighted sum of discrete prolate spheroidal (DPS) sequences which have good orthogonal and band-limited properties. Optimum waveforms (possibly nonorthogonal) are designed to maximize the target detection performance of the MIMO-OTH radar system with the constraint of fixed total transmitted energy. The performance of the proposed waveforms is analyzed.
We study the waveform design problem for a multiple-inputmultiple-output over-the-horizon (MIMO-OTH) radar system faced with a combination of additive Gaussian noise and signal dependent clutter. Considering the oper...
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ISBN:
(纸本)9781479903573
We study the waveform design problem for a multiple-inputmultiple-output over-the-horizon (MIMO-OTH) radar system faced with a combination of additive Gaussian noise and signal dependent clutter. Considering the operational frequency of the MIMO-OTH radar is generally limited to a certain frequency band due to propagation and implementation issues, the waveform transmitted at each antenna is constructed as a weighted sum of discrete prolate spheroidal (DPS) sequences which have good orthogonal and band-limited properties. Optimum waveforms (possibly nonorthogonal) are designed to maximize the target detection performance of the MIMOOTH radar system with the constraint of fixed total transmitted energy. The performance of the proposed waveforms is analyzed.
MIMO radar with properly placed antennas that employs a coherent processing approach can provide superior MSE performance, as indicated by recent work. This paper demonstrates that the magnitude of these gains decreas...
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MIMO radar with properly placed antennas that employs a coherent processing approach can provide superior MSE performance, as indicated by recent work. This paper demonstrates that the magnitude of these gains decreases with an increase in the product of the number of transmit and receive antennas if the antennas for the noncoherent system are also suitably placed, using a placement which is generally different from the one for the coherent processing approach. Initially, we study the systems without constraining the complexity and energy, where each added transmit antenna employs a fixed energy so that the total transmitted energy is allowed to increase as we increase the number of transmit antennas. Later we also look at constrained systems, where adding a transmit antenna splits the total system energy and the total number of antennas employed is restricted. A rigorous theorem is presented for the case of orthogonal signals in temporally and spatially white clutter-plus-noise, but numerical results for nonorthogonal signals and colored clutter-plus-noise follow a similar pattern. (C) 2012 Elsevier B.V. All rights reserved.
In this article, we consider a computationally efficient direction of departure and direction of arrival estimation problem for a bistatic multiple-inputmultiple-output (MIMO) radar. The computational loads of the pr...
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In this article, we consider a computationally efficient direction of departure and direction of arrival estimation problem for a bistatic multiple-inputmultiple-output (MIMO) radar. The computational loads of the propagator method (PM) can be significantly smaller since the PM does not require any eigenvalue decomposition of the cross correlation matrix and singular value decomposition of the received data. An improved PM algorithm is proposed to obtain automatically paired transmit and receive angle estimations in the MIMO radar. The proposed algorithm has very close angle estimation performance to conventional PM, which has a much higher complexity than our algorithm. For high signal-to-noise ratio, the proposed algorithm has very close angle estimation to estimation of signal parameters via rotational invariance technique algorithm. The variance of the estimation error and Cramer-Rao bound of angle estimation are derived. Simulation results verify the usefulness of our algorithm.
A Taylor polynomial expansion (TPE) based waveform decorrelation algorithm with low complexity is proposed to cancel the effects of auto-correlation and cross-correlation of transmit waveform of multiple-input multipl...
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A Taylor polynomial expansion (TPE) based waveform decorrelation algorithm with low complexity is proposed to cancel the effects of auto-correlation and cross-correlation of transmit waveform of multiple-inputmultiple-output (MIMO) radar in the receiver. Cayley-Hamilton theorem is first used to expand the direct matrix inversion to the form of polynomial matrix. And then, Taylor series is used to simplify the calculation of the polynomial matrix. Furthermore, a simplified method is proposed to select the normalized factor by exploiting the special properties of signal correlation matrix, where the convergence performance for the approximation error of the TPE decorrelator is also analyzed. Finally, the performance of waveform correlation cancellation is verified by applying it to bistatic MIMO radar multi-target localization. Simulation results demonstrate the effectiveness of the proposed algorithm. (C) 2011 Elsevier B.V. All rights reserved.
For a multiple-inputmultiple-output (MIMO) radar system adopting the Neyman-Pearson (NP) criterion, a detection algorithm for MIMO radar with arbitrarily correlated observation channels in the presence of possible No...
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For a multiple-inputmultiple-output (MIMO) radar system adopting the Neyman-Pearson (NP) criterion, a detection algorithm for MIMO radar with arbitrarily correlated observation channels in the presence of possible Non-Gaussian clutter-plus-noise is analyzed. Simulation results show that both the correlation of the observation channels and the correlation of the clutter-plus-noise will reduce the detection performance. The algorithm can be utilized to compute and analyze the detection performance of a MIMO radar system for any given transmitter/receiver geometry and varying levels of correlation in the target.
Coherent multiple-inputmultiple-output (MIMO) radar is characterized by having a transmit antenna array and a receive antenna array located in a pseudo-monostatic configuration such that desired target returns from t...
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ISBN:
(纸本)9781424489022
Coherent multiple-inputmultiple-output (MIMO) radar is characterized by having a transmit antenna array and a receive antenna array located in a pseudo-monostatic configuration such that desired target returns from the far-field are coherent. Each element (or subarray) of the transmit array radiates an independent, ideally orthogonal, waveform. Such a radar offers the ability to digitally form beams, possibly adaptively, on both transmit and receive within the receive signal processor. The fundamental advantages of MIMO radar over modern single-inputmultiple-output (SIMO) radar can be demonstrated with a multiple-input single-output (MISO) radar. A MISO radar testbed with up to four transmit channels and a single receiver was built to evaluate the various classes of MIMO waveforms. Results of these tests are presented.
In this paper, we propose a general target model for multiple-inputmultiple-output(MIMO) radar. Three types of targets are presented. For each type of target, we develop a corresponding optimum waveform designing met...
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ISBN:
(纸本)9781424489022
In this paper, we propose a general target model for multiple-inputmultiple-output(MIMO) radar. Three types of targets are presented. For each type of target, we develop a corresponding optimum waveform designing method to optimize detection performance. Based on Chernoff-Stein lemma, we use relative entropy as the performance measure. We show that the optimum waveform designing method can obtain better detection performance than traditional orthogonal waveform designing method.
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