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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 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 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 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 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 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...
This paper presents a radar tasks scheduling method for multistatic radar network. Rather than assuming the task periods to be highly correlated to each other, the task periods in this paper are considered to be arbitrary. A three-step strategy is employed to design the scheduling method. Firstly, we build a radar task model with variable period. Then, we slot each radar timeline with different sizes...
This paper introduced the wide-band OFDLFM waveform to improve the supersonic target detection performance in the deception jamming environment. Given the waveform model, a mixed integration technique, which combines both coherent integration in the same channels and multi-channel fusion among different channels, is introduced to enhance integration gain and overcome different kinds of deception jamming...
We consider an optimization problem of antenna placement of multistatic radar system (MSRS). The goal is to improve the system performance in terms of both detection capability and localization accuracy by optimally placing the antennas of MSRS. To this end, a coverage ratio and an average geometric dilution of precision (GDOP) of surveillance region are proposed as objective functions to evaluate...
This paper addresses the problem of adaptive multiple-input multiple-output (MIMO) radar detection in heterogeneous environment with compound-Gaussian clutter. The clutter covariances are assumed to be random and different from one transmit/receive pair to another with a priori knowledge about the environment. A two-step strategy is employed to design adaptive detector. Firstly, we obtain the generalized...
In sensor networks, resource management is very important for both improving the performance of the system and decreasing the expenses to accomplish the tasks of the networks. Efficient resource management can help us to control the networks appropriately and quickly. In this paper, we consider the problem of adaptive resource management based on target priority in the radar networks. We first propose...
In radar networks, radar selection has played a more and more important role. Many radar selection methods have been proposed. Recently a novel method which is based on sparsity-aware matrix decomposition has been proposed to identify informative sensors for target tracking. However, this method had stringent constraints and was under the assumption of known noise parameters in the sensing field....
We present the problem of moving target detection with multiple-input multiple-output (MIMO) radar in compound-Gaussian clutter. A new moving target detector based on the Wald criterion is devised according to the centralized processing scheme of MIMO radar system. Furthermore, the adaptive version of the proposed detector is investigated by in place of the exact covariance matrix with the fixed point...
This paper considers moving target detection for multiple-input multiple-output (MIMO) radar in compound-Gaussian clutter. A new detector is devised according to a centralized processing scheme for MIMO radar system based on the generalized likelihood ratio test (GLRT) design criterion. Then, an adaptive version of the derived detector is investigated. The fixed point estimation (FPE) strategy is...
This paper considers the moving target detection (MTD) problem for polarimetric multiple-input multiple-output (MIMO) radar in the presence of Gaussian clutter. By exploiting the polarimetric information, we devise two different generalized likelihood ratio tests (GLRTs) with a generic number of polarimetric channels, according to the centralized and distributed processing schemes of MIMO radar systems,...
In this paper, we focus on the performance improvement of constant false alarm rate (CFAR) detector in heterogeneous Compound-Gaussian background. This paper is motivated by the fact that the detectors' performance degradation when an unknown located clutter edge exists in the reference window that divide the data samples into two different independent and identically distributed (IID) Compound-Gaussian...
This work addresses the problem of adaptive multiple-input multiple-output (MIMO) radar detection in heterogeneous clutter. We first derive the generalized likelihood ratio test (GLRT) based on the two-step design procedure. Then, considering with the Bayesian framework and the prior knowledge about the clutter, we adopt the Maximum A Posteriori (MAP) estimator of the clutter covariance matrix and...
The performance of dynamic programming (DP) based track-before-detect (TBD) algorithm is seriously affected by non-homogeneous clutter. A novel approach which combines DP algorithm with priori information is proposed in this paper. The method of choosing the valid state transitions reasonably according to the priori information of clutter intensity is analysed. And the compensation strategy to merit...
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