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In this paper, we present a clustering scheme using fuzzy logic in multi-hop radar sensor networks (RSN) for target detection. We design fuzzy-logic-based cluster-head (CH) election considering routing selection algorithm under the condition of constant false alarm rate (CFAR) in fading environment. Three antecedents, the small scale fading of the signal transmitted by a radar sensor (RS) to the base...
Even though the wireless positioning in sensor networks has been extensively studied in the past decades, there is no contribution discussing positioning the receiver that belongs to another system, i.e., the third-party receiver. In this paper, we propose a new scheme to solve the problem by full-duplex rtechnique. In our scheme, we let the sensors conduct the full-duplex relay for the target receiver...
Investigation in MIMO-RSN (Multi-input Multi-output radar sensor networks) is becoming more attractive in current literature. In a MIMO system, power allocation in accordance with the channel gain can significantly improve the system throughput performance. This paper investigates three power allocation methods in MIMO-RSN: water-filling, equal power and channel inversion. Their performances are analyzed...
Information fusion for target detection in heterogeneous radar sensor networks (HRSN) is an attractive research area. By considering the heterogeneity of HRSN that different local radar sensors have different detection performances, we propose a decision fusion algorithm using optimized energy allocation in this paper. Simulation results show that compared with equal energy allocation scheme, the...
In this paper, a fuzzy logic approach (Type-1 Fuzzy Logic Classifier (T1FLC)) is proposed to improve flight recognition ratio. On a basis of measurements, we acquire the high range resolution profiles (HRRP) of three types of air targets, namely F-15, Tu-16 and AH-64. The length and the difference between the two adjacent HRRPS are extracted as two antecedents for the T1FLC. Gaussian membership functions...
Modified nearest neighbor fuzzy classification (MNNFC) algorithm is proposed for the character of ship target high resolution range profile (HRRP). Ship length, dispersant, symmetry and central moments features are some stable features for ship HRRP and extracted accurately. Modified nearest neighbor fuzzy classification algorithm is designed for different features to contribute their predominance...
Multi-stage classification algorithm is proposed for the special character of ship target high resolution range profile (HRRP). Range alignment, elimination of abnormal HRRP and noncoherent average are all used to process the ship HRRP before feature extraction. Multi-stage classification algorithm is designed for different feature to contribute their predominance in different stage. Classification...
In this paper we propose orthogonal waveforms and equal gain combination algorithm in radar sensor network (RSN) to alleviate blind speed problem. We also design a fuzzy logic system (FLS) to optimize the number of radars in RSN. Simulation results show that our FLS-based RSN can not only balance the number of radars and QoS in terms of probability of miss detection (PMD), but to some extent achieve...
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