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In this paper, under the situation of multiple interference regions, an optimal antenna placement problem for a distributed Multi-Input Multi-Output (MIMO) radar is studied. Considering multiple interference regions, we solve the antenna placement problem by utilizing antenna placement method based on Multi-Objective Particle Swarm Optimization (MOPSO). However, it is not clear when to stop the iteration...
This paper considers the location and tracking problem for the indoor and outdoor targets with the single input multiple output (SIMO) radar. An effective algorithm based on phase comparison is presented to derive the target azimuth by exploiting the phase differences between the return signals among the multiple channels. In addition, the target range is derived via employing the fast Fourier transform...
This paper addresses the coherent integration problem for detecting a maneuvering target with complex motions, involving range migration (i.e., range walk and range curvature) and Doppler frequency migration (DFM) within the coherent processing interval. A new method based on adjacent cross correlation function (ACCF) and fractional Fourier transform (FRFT) is proposed, where the ACCF operation is...
This paper considers the unimodular quadratic optimization problem for synthesizing radar codes forcing a similarity constraint to allow the designed code sharing the similarity feature with a given reference code. A computationally efficient Iterative Sequence Optimization (ISO) algorithm is proposed which sequentially improves the objective function. At each iteration, the multidimensional optimization...
This paper deals with the passive location problem for coherent near-field sources with the non-uniform sparse linear array (non-USLA). Specifically, we divide the non-USLA into three subarrays and exploit the fact that the coherent sources are located in near field for the whole array, whereas they are regarded as far-field targets with respect to the subarray 1/2 among the non-USLA. We first roughly...
In this paper, we consider the target localization problem in the presence of a wall using the through-the-wall radar, which equips one transmitter and multiple receivers. We propose a novel noncoherent localization approach, exploiting the advantages of both the ellipse-cross-localization and the hyperbolic-cross-localization. Performance of the proposed approach is evaluated via numerical simulations,...
This paper considers the constrained waveform design of Multiple-Input Multiple-Output (MIMO) radar to synthesize a desired beampattern. Specifically, resorting to SemiDefinite Programming (SDP) related technique, we first minimize Integrate Sidelobe Level (ISL) to optimize the waveform covariance matrix forcing a uniform elemental power requirement as well as a 3dB bandwidth constraint. Then, based...
This paper considers the problems of the range migration (RM) and the Doppler frequency migration (DFM), which might appear in the detection of weak maneuvering target. We propose a novel coherent integration method to address these problems, which is based on the keystone transform (KT) and the matched filtering process (MFP), namely KT-MFP. In this algorithm, KT is firstly applied to correct the...
This paper considers the range walk (RW) problem for the high-speed moving target within the long coherent integration interval and proposes a new method, i.e., location rotation transform (LRT), to address the RW problem. In general, this method employs the rotation operation for the coordinate locations of echo data to eliminate the RW effect and then the Fourier transform (FT) is performed to coherently...
In this paper, we consider the adaptive detection with multiple-input multiple-output (MIMO) radar in compound-Gaussian clutter. The covariance matrices of the primary and the secondary data share a common structure but different power levels (textures). A Bayesian framework is exploited where both the textures and the structure are assumed to be random. Precisely, the textures follow Gamma distribution...
This paper proposes a novel distributed multi-target fusion mechanism based on average marginal density (AMD) via the generalized Covariance Intersection (G-CI) fusion algorithm. There exist several drawbacks in traditional multi-sensor tracking methods, e.g. track association is sensitive to the parameter; tracks fusion can not fuse multiple tracks jointly and traditional distributed fusion methods...
This paper considers the radar waveform design problem with constant modulus constraint against signal-dependent jamming. Meanwhile, the integrated auto-correlation sidelobe level is also suppressed to maintain good range compression property. We first formulate a non-convex multi-dimensional optimization problem both accounting for interference suppression and low auto-correlation sidelobe level...
This paper deals with the robust transmit-receive design for a moving point-like target detection embedded in signal-dependent clutter to against the uncertain Doppler shift of clutter. Specifically, we devise an Iterative Sequential Optimization (ISO) algorithm to sequentially improve the worst-case Signal to Interference plus Noise Ratio (SINR) over clutter statistics considering a constant modulus...
This paper deals with adaptive detection problem of coherent pulse trains embedded in Compound-Gaussian clutter-dominated disturbance with a limited number of training data set. Suppose that some a priori spectral models for the covariance matrix structure of the interference in the cell under test and a lower bound on the power spectral density (PSD) of the white disturbance term are available. At...
This paper focuses on the Ambiguity Function design for the unimodular sequence, which is of great interest in radar and communication systems. An Accelerated Iterative Sequential Optimization (AISO) algorithm is proposed to minimize the average value of the weighted integrated side-lobe level (WISL) over specific Doppler bins and range bins of interest. At the analysis stage, we evaluate the effectiveness...
This paper deals with the suppression problem of active repeater range-false-target deception jamming for multistatic radar. In general, the monostatic radar can not distinguish the real signal from echo since the jamming signal shares the same waveform as the real signal. Nevertheless, the multistatic radar can obtain more information about target and jamming based on the multistatic geometry structure...
This paper mainly considers the parameters estimation for the micro-motion targets embedded in non-Gaussian noise with the single input multiple output (SIMO) radar. A novel estimation algorithm based on mutual correntropy is presented to derive the micro perturbation parameters by exploiting the second and higher-order knowledge of the return signals among the multiple channels. Compared with conventional...
This paper considers the sparse linear array (SLA) design problem of coherent unambiguous transmit for the distributed aperture coherence-synthetic radar (DACR), accounting for the antenna size constraint and geography constraint in which elements can not be placed in a given aperture. We develop the peak sidelobe level (PSL) based cost function, which considers the sum of the PSL when the mainlobe...
In this paper, we consider the near field source location problem for a nonuniform sparse linear array (non-USA) in the presence of sensor gain and phase errors. We present a minimum variance based iterative self-calibration method to simultaneously estimate the gain and phase error parameters as well as the calibration sources locations including ranges and azimuthes exploiting some imprecise a-priori...
In this paper, a preferential optimization problem of antenna placement for a distributed Multi-Input Multi-Output (MIMO) radar is studied. Considering multiple surveillance regions, the radar performances of preferential regions need to be improved and more choices of placement schemes for desired performance need to be provided. Therefore, we use the Particle Swarm Optimiztion (PSO) with reference...
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