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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...
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 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...
The authors propose a two-stage approach to design radar dynamic environmental knowledge base (DEKB), which provides a priori information for knowledge-based (KB) signal processing and radar system design. Specifically, the first stage is to use historical knowledge such as maps to establish the static environmental knowledge base (SEKB), which is the initial state of the DEKB. The second stage is...
The conventional CFAR detectors based on reference window suffer a considerable performance degradation in heterogeneous background. In this paper, a new knowledge based constant false alarm rate (KB-CFAR) detector is proposed to reduce the impact of heterogeneous environment. The proposed KB-CFAR detector exploits clutter partition as auxiliary knowledge to select the reference cells. The clutter...
This paper considers the problem of the dynamic update of radar environmental knowledge base (EKB) established by a lot of a priori knowledge (e.g., Geographic Information System). Since EKB could not keep matching the radar operating environment very well, a new architecture is proposed to renew EKB in real time. Besides, we present a new method based on two Anderson-Darling tests, which is used...
This paper presents an approach to build radar environmental knowledge base (EKB), which is established based on knowledge about radar operating environment, e.g., Geographic Information System (GIS). It also presents a new knowledge-based constant false alarm rate (KB CFAR) detector utilizing multidimensional knowledge as a priori information from EKB. The performance of the new approach is analyzed...
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