自适应能量检测器及在失配信号检测中的应用(英文)

刘维建; 王利才; 狄源水; 简涛; 谢谠; 王永良

doi:10.12000/JR14132

自适应能量检测器及在失配信号检测中的应用(英文)

DOI: 10.12000/JR14132

1.
(空军预警学院武汉 430019)
2.
(93856部队兰州 730060)

计量
- 文章访问数: 2716
- HTML全文浏览量: 782
- PDF下载量: 1976
- 被引次数: 0
出版历程
- 收稿日期: 2014-11-17
- 修回日期: 2015-01-28
- 网络出版日期: 2015-04-28

Adaptive Energy Detector and Its Application for Mismatched Signal Detection(in English)

1.
( Air Force Early Warning Academy, Wuhan 430019, China)
2.
(Unit 93856 of PLA, Lanzhou 730060, China)

Funds:

Supported in part by National Natural Science Foundation of China (61102169).

摘要

摘要: 自适应能量检测器(AED)是一种信号导向矢量完全未知时有效的检测器, 最早根据广义似然比(GLRT)准则得到。该文首先分析了AED一些重要特性。指出AED与根据Rao准则和Wald准则得到的检测器相同, 并得到了其精确的统计分布, 根据该统计分布进而较容易地推导出AED解析的检测概率(PD)和虚警概率(PFA)。其次利用AED设计了一种信号失配情形下的参数可调检测器。与现有的参数可调检测器相比, 新检测器对失配信号的检测具有更好的灵活度。此外, 对于匹配信号, 新检测器具有更高的检测概率。该可调检测器的这些功能通过调节两个标量参数实现, 两个参数被称为可调参数。
- 自适应能量检测器(AED) /
- 广义似然比 /
- Rao检测器(GLRT) /
- 信号失配 /
- 可调检测器 /
- Wald检测器
Abstract: We investigate several important properties of an Adaptive Energy Detector (AED), which is originally proposed according to the Generalized Likelihood Ratio Test (GLRT), under the assumption that the signal steering vector is completely unknown. We show that the AED coincides with the Rao and Wald tests. We also give the exact statistical distribution, according to which one can easily derive the Probabilities of Detection (PD) and False Alarm (PFA), and we use the AED to design a parametrically tunable signal-mismatch detector. Compared to existing tunable detectors, the novel tunable detector is more flexible in governing the rejection of the mismatched signal; moreover, for the matched signal, the tunable detector can provide a higher PD than existing detectors. Two scalars, called the tunable parameters, control this functionality.
- Adaptive Energy Detector (AED) /
- Generalized Likelihood Ratio Test (GLRT) /
- Rao test /
- Signalmismatch /
- Tunable detector /
- Wald test

HTML全文

参考文献(27)

[1]	Liu J, Li H, and Himed B. Threshold setting for adaptive matched filter and adaptive coherence estimator[J]. IEEE Signal Processing Letters, 2015, 22(1): 11-15.
[2]	Shi B, Hao C, Hou C, et al.. Parametric Rao test for multichannel adaptive detection of range-spread target in partially homogeneous environments[J]. Signal Processing, 2015, 108: 421-429.
[3]	Cui G, Liu J, Li H, et al.. Signal detection with noisy reference for passive sensing[J]. Signal Processing, DOI: 10.1016/j.sigpro.2014.09.034.
[4]	Liu W, Xie W, Liu J, et al.. Adaptive double subspace signal detection in Gaussian backgroundpart I: Homogeneous environments[J]. IEEE Transactions on Signal Processing, 2014, 62(9): 2345-2357.
[5]	Kelly E J. An adaptive detection algorithm[J]. IEEE Transactions on Aerospace and Electronic Systems, 1986, 22(1): 115-127.
[6]	Robey F C, Fuhrmann D R, Kelly E J, et al.. A CFAR adaptive matched filter detector[J]. IEEE Transactions on Aerospace and Electronic Systems, 1992, 28(1): 208-216.
[7]	De Maio A. Rao test for adaptive detection in Gaussian interference with unknown covariance matrix[J]. IEEE Transactions on Signal Processing, 2007, 55(7): 3577-3584.
[8]	Kraut S and Scharf L L. The CFAR adaptive subspace detector is a scale-invariant GLRT[J]. IEEE Transactions on Signal Processing, 1999, 47(9): 2538-2541.
[9]	Pulsone N B and Rader C M. Adaptive beamformer orthogonal rejection test[J]. IEEE Transactions on Signal Processing, 2001, 49(3): 521-529.
[10]	Bandiera F, Besson O, and Ricci G. An ABORT-like detector with improved mismatched signals rejection capabilities[J]. IEEE Transactions on Signal Processing, 2008, 56(1): 14-25.
[11]	Orlando D and Ricci G. A Rao test with enhanced selectivity properties in homogeneous scenarios[J]. IEEE Transactions on Signal Processing, 2010, 58(10): 5385-5390.
[12]	Liu W, Xie W, and Wang Y. A Wald test with enhanced selectivity properties in homogeneous environments[J]. EURASIP Journal on Advances in Signal Processing, 2013, 2013(14): 1-4.
[13]	Raghavan R S, Qiu H F, and Mclaughlin D J. CFAR detection in clutter with unknown correlation properties[J]. IEEE Transactions on Aerospace and Electronic Systems, 1995, 31(2): 647-657.
[14]	Conte E, De Maio A, and Galdi C. CFAR detection of multidimensional signals: an invariant approach[J]. IEEE Transactions on Signal Processing, 2003, 51(1): 142-151.
[15]	Liu W, Xie W, and Wang Y. Rao and Wald tests for distributed targets detection with unknown signal steering[J]. IEEE Signal Processing Letters, 2013, 20(11): 1086-1089.
[16]	Besson O. Detection in the presence of surprise or undernulled interference[J]. IEEE Signal Processing Letters, 2007, 14(5): 352-354.
[17]	Richmond C D. Performance of the adaptive sidelobe blanker detection algorithm in homogeneous environments[J]. IEEE Transactions on Signal Processing, 2000, 48(5): 1235-1247.
[18]	Bandiera F, Besson O, Orlando D, et al.. An improved adaptive sidelobe blanker[J]. IEEE Transactions on Signal Processing, 2008, 56(9): 4152-4161.
[19]	Hao C, Liu B, and Cai L. Performance analysis of a twostage Rao detector[J]. Signal Processing, 2011, 91(8):2141-2146.
[20]	Kalson S Z. An adaptive array detector with mismatched signal rejection[J]. IEEE Transactions on Aerospace and Electronic Systems, 1992, 28(1): 195-207.
[21]	Hao C, Liu B, Yan S, et al.. Parametric adaptive radar detector with enhanced mismatched signals rejection capabilities[J]. EURASIP Journal on Advances in Signal Processing, 2010, DOI: 1155/2010/375136.
[22]	Bandiera F, Orlando D, and Ricci G. One- and two-stage tunable receivers[J]. IEEE Transactions on Signal Processing, 2009, 57(8): 3264-3273.
[23]	Liu W, Xie W, and Wang Y. Parametric detector in the situation of mismatched signals[J]. IET Radar, Sonar Navigation, 2014, 8(1): 48-53.
[24]	Liu W, Wang Y, and Xie W. Fisher information matrix, Rao test, and Wald test for complex-valued signals and their applications[J]. Signal Processing, 2014, 94: 1-5.
[25]	Bose S and Steinhardt A O. Adaptive array detection of uncertain rank one waveforms[J]. IEEE Transactions on Signal Processing, 1996, 44(11): 2801-2809.
[26]	Muirhead R J. Aspects of Multivariate Statistical Theory[M]. 2nd ed. Hoboken: Wiley, 2005: 98.
[27]	Kelly E J and Forsythe K M. Adaptive detection and parameter estimation for multidimensional signal models[R]. Lincoln Laboratory, Lexington, 1989.