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Lu F.,Air and Missile Defense College | Zhang J.,Air and Missile Defense College | Shi H.,Air Force Communications Officer School in Dalian | Wang Q.,Air and Missile Defense College | Wang Y.,Air and Missile Defense College
Chinese Journal of Sensors and Actuators | Year: 2013

In order to solve the problem of sampling with Compressive Sensing (CS) in Wireless Sensor Network (WSN), the method of Randomly Compressive Sampling is studied, which uses Timer to control Analogy to Digital Converter. The experimental results show that the method is effective and feasible. On the basis of this, a new algorithm of Distributed Compressive Sensing in WSN is proposed, which realizes Distributed Compressive Sampling through distributing the random sequence. Then the algorithm of CoSaMP was used to reconstruct original signal with the joined sampling values. Simulation and experiment show that the proposed method can achieve analogy signal collection with a sampling frequency below 1/10 percentage of standard sampling frequency in a star network topology.


Gong J.,Air and Missile Defense College | Wang H.,Air and Missile Defense College | Li Z.-L.,Unit 94746 | Wei L.,Unit 94921
Applied Mechanics and Materials | Year: 2013

Most high-resolution angle estimation algorithms suffer from sensitivity to gain and phase uncertainties. In this letter, a novel ESPRIT-based algorithm, which uses the instrumental sensors method (ISM), is proposed for bistatic MIMO radar with gain and phase uncertainties. With the help of a few well-calibrated transmitting and receiving instrumental sensors, the proposed algorithm is able to achieve favorable and unambiguous angle estimation and accurate self-calibration without the knowledge of gain and phase uncertainties. Simulation results demonstrate the validity of the proposed method. © 2013 Trans Tech Publications Ltd, Switzerland.


Gong J.,Air and Missile Defense College | Lei T.,Air and Missile Defense College | Li Z.-L.,Unit 94746 | Li C.,Unit 94221
Advanced Materials Research | Year: 2013

In this paper, a new micro-motion ISAR imaging algorithm is proposed, which achieve high cross range resolution by using the changes of azimuth angle caused by micro-motion. Before Wigner-Ville transformation to eliminate the cross-term interference, the echoes of the same range cell are decomposed. Comparing to traditional the Wigner-Ville imaging algorithm and Range-Doppler algorithm, this new algorithm in this paper has better imaging precision and no cross-term interference is existed. At last, the effectivity of the proposed algorithm is demonstrated by the simulated results. © (2013) Trans Tech Publications, Switzerland.


Wang Y.,Air and Missile Defense College | Zhang J.,Air and Missile Defense College | Chen K.,Air and Missile Defense College | Wang Q.,Air and Missile Defense College
Chinese Journal of Sensors and Actuators | Year: 2015

In order to improve the efficiency of spectrum sensing in cognitive radio sensor networks, an energy efficient spectrum sensing period optimization algorithm is proposed. The greedy factor is introduced to reduce the times of spectrum sensing so that the power of this method is lower than conventional ones. With the constraint of collision probability and waiting delay, the sensing period is adaptive adjusted through the interaction with channel. The simulation results show that, with different distributed parameter of channel state, this algorithm can effectively improve the efficiency of spectrum sensing, comparing with fixed periodical sensing method. And it is enforceable for cognitive radio sensor networks. ©, 2015, The Editorial Office of Chinese Journal of Sensors and Actuators. All right reserved.


Gong J.,Air and Missile Defense College | Guo Y.-D.,Air and Missile Defense College | Xie H.,Air and Missile Defense College | Li Z.-L.,Unit 94746
Advanced Materials Research | Year: 2014

Based on the theory that the steering vectors of coherently distributed targets for bistatic MIMO radar possess a property called Hadamard product rotational invariance (HPRI), a novel central angle estimation algorithm is derived. The proposed algorithm has the advantage of no searching and easily pair the estimated angles. Furthermore, it can deal with different coherently distributed targets with different angular distribution functions or unknown angular distribution functions. Simulation results show the proposed method is effective. © (2014) Trans Tech Publications, Switzerland.

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