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| Rao Test of Distributed Targets in K-distributed Clutter |
| Zhang Xiao-li Guan Jian He You |
| Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China |
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Abstract For the detection problem caused by point targets broken up into distributed targets in the high-range resolution radar system, an adaptive detection algorithm based on the Rao test is proposed. The distributed target, which is modeled as a subspace random signal, may be expanded both in range and also in Doppler frequency axes. The unknown parameters are estimated by maximum likelihood estimation only under hypothesis H0 in Rao test. Moreover, the detector is obtained relying on the two-step design procedure. Because of these, both the computational burden and the complexity are cut down. Finally, performances of the proposed detector are assessed through Monte Carlo simulations and are shown to have better detection performance of distributed targets in K-distributed clutter compared with the existing similar detector.
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Received: 24 November 2009
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Corresponding Authors:
Zhang Xiao-li
E-mail: zxl_1239@163.com
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2010, Vol. 32 
