Study of detection performance of passive bistatic radars based on FM broadcast * * This project was supported by the National Natural Science Foundation of China (60232010).

Tao Shan; Ran Tao; Yue Wang; Siyong Zhou

doi:10.1016/S1004-4132(07)60044-9

Study of detection performance of passive bistatic radars based on FM broadcast ^* * This project was supported by the National Natural Science Foundation of China (60232010).

Tao Shan^*, Ran Tao, Yue Wang, Siyong Zhou

^*Corresponding author for this work

Inst. of Technology

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

Abstract: The passive bistatic radar based on the FM broadcast has inherent superiority with respect to its survivability. In this article, the ambiguity function (AF) and the cross ambiguity function (CAF) of the FM radio signal are analyzed and illustrated. The Kolmogorov Smirnov (K-S) test verifies that the amplitude probability density function of the CAF side lobes is exponential; the distribution of the target is also deduced. Finally, the detection performance of the passive radar is studied, and the result shows that this new type bistatic radar has favorable detection capability.

Original language	English
Pages (from-to)	22-26
Number of pages	5
Journal	Journal of Systems Engineering and Electronics
Volume	18
Issue number	1
DOIs	https://doi.org/10.1016/S1004-4132(07)60044-9
Publication status	Published - Mar 2007
Externally published	Yes

Keywords

Ambiguity function
Bistatic radar
Cross ambiguity function
Probability density function (PDF)

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10.1016/S1004-4132(07)60044-9

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title = "Study of detection performance of passive bistatic radars based on FM broadcast * * This project was supported by the National Natural Science Foundation of China (60232010).",

abstract = "Abstract: The passive bistatic radar based on the FM broadcast has inherent superiority with respect to its survivability. In this article, the ambiguity function (AF) and the cross ambiguity function (CAF) of the FM radio signal are analyzed and illustrated. The Kolmogorov Smirnov (K-S) test verifies that the amplitude probability density function of the CAF side lobes is exponential; the distribution of the target is also deduced. Finally, the detection performance of the passive radar is studied, and the result shows that this new type bistatic radar has favorable detection capability.",

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AU - Shan, Tao

AU - Tao, Ran

AU - Wang, Yue

AU - Zhou, Siyong

PY - 2007/3

Y1 - 2007/3

N2 - Abstract: The passive bistatic radar based on the FM broadcast has inherent superiority with respect to its survivability. In this article, the ambiguity function (AF) and the cross ambiguity function (CAF) of the FM radio signal are analyzed and illustrated. The Kolmogorov Smirnov (K-S) test verifies that the amplitude probability density function of the CAF side lobes is exponential; the distribution of the target is also deduced. Finally, the detection performance of the passive radar is studied, and the result shows that this new type bistatic radar has favorable detection capability.

AB - Abstract: The passive bistatic radar based on the FM broadcast has inherent superiority with respect to its survivability. In this article, the ambiguity function (AF) and the cross ambiguity function (CAF) of the FM radio signal are analyzed and illustrated. The Kolmogorov Smirnov (K-S) test verifies that the amplitude probability density function of the CAF side lobes is exponential; the distribution of the target is also deduced. Finally, the detection performance of the passive radar is studied, and the result shows that this new type bistatic radar has favorable detection capability.

KW - Ambiguity function

KW - Bistatic radar

KW - Cross ambiguity function

KW - Probability density function (PDF)

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SN - 1671-1793

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EP - 26

JO - Journal of Systems Engineering and Electronics

JF - Journal of Systems Engineering and Electronics

IS - 1

ER -

Study of detection performance of passive bistatic radars based on FM broadcast ^* * This project was supported by the National Natural Science Foundation of China (60232010).

Abstract

Keywords

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