Standardization of the Definition of the Radar Ambiguity Function

Sinsky, A.; Wang, C.P.

doi:10.1109/taes.1974.307831

Cited by 23 publications

(12 citation statements)

References 1 publication

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“…To estimate the expectation and variance operators in (8), we used 1,000 realisations of w(nT ) and thus calculated d RE . Next, we did the same for η TF [z r (nT )], using (6). For calculating the discrete analytic signal, we used the method in [12]; we also used the conventional method [10] but found similar results.…”

Section: Performance Of Discrete Matched Filtermentioning

confidence: 99%

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Accurate and efficient implementation of the time–frequency matched filter

O’Toole

Mesbah

Boashash

2010

IET Signal Process.

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The discrete time-frequency matched filter should replicate the continuous time-frequency matched filter. But the methods differ. To avoid aliasing the discrete method transforms the real-valued signal to the complex-valued analytic signal. The theory for the time-frequency matched filter does not consider the discrete case using the analytic signal. We find that the performance of the matched filter degrades when using the analytic, rather than real-valued, signal. This performance degradation is dependent on the signal to noise ratio and the signal type. In addition, we present a simple algorithm to efficiently compute the time-frequency matched filter. The algorithm with the real-valued signal, comparative to using the analytic signal, requires one-quarter of the computational load. Hence the real-valued signal-and not the * Boualem Boashash is also with The University of Queensland.

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Section: Performance Of Discrete Matched Filtermentioning

confidence: 99%

“…The time-domain matched filter, often refered to as the ambiguity function [6], is used to detect a known signal embedded in noise [7]. The timefrequency matched filter extends the time-domain filter to incorporate both time-frequency smoothing and filtering.…”

Section: Introductionmentioning

confidence: 99%

Accurate and efficient implementation of the time–frequency matched filter

O’Toole

Mesbah

Boashash

2010

IET Signal Process.

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“…The AF is given as [20] (2) where u(t) is the DTTB baseband signal, τ is the time delay, f d is the Doppler frequency. Suppose τ = 1.2 ms, |f d | 3.5 kHz and the integration time is 125 ms. Because AF is symmetric along both the time delay and Doppler frequency axes, we only analyze the situation of τ 0.…”

Section: Analysis Of Chinese Dttb Signal Afmentioning

confidence: 99%

Analysis and side peaks identification of Chinese DTTB signal ambiguity functions for passive radar

Gao

Tao

Wang

2009

Sci. China Ser. F-Inf. Sci.

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Passive radar is one of the current research focuses. The implementation of the Chinese standard digital television terrestrial broadcasting (DTTB) creates a new opportunity for passive radar. DTTB system contains single-carrier and multicarrier application modes. In this paper, ambiguity functions of the DTTB signals in the single-carrier and multicarrier application modes are analyzed. Ambiguity function of the DTTB signal contains one main peak and many side peaks. The relative positions and amplitudes of the side peaks are derived and the reasons for the occurrence of the side peaks are obtained. The side peaks identification (SPI) algorithm is proposed for avoiding the false alarms caused by the side peaks. Experimental results show that the SPI algorithm can indentify all the side peaks without the power loss. This research provides the foundation for designing the DTTB based passive radar.passive radar, DTTB, ambiguity function, side peaks identification

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“…The surveillance channel receives the target echo signal, while the reference channel receives the reference signal. The classical moving target detection method is the radar cross ambiguity function (CAF) calculated with the reference signal and the target echoes (Sinsky and Wang, 1974;Axelsson, 2004;Yan et al, 2013). However, there is one limitation to the peak sidelobe level (PSL) in radar CAF, which is a fixed value obtained from the product of the time interval and bandwidth of the signal (time-bandwidth product) (Cherniakov, 2008).…”

Section: Introductionmentioning

confidence: 99%

Moving target detection in the cepstrum domain for passive coherent location (PCL) radar

Xiaode

Zhang

et al. 2015

Frontiers Inf Technol Electronic Eng

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A cepstrum moving target detection (CEPMTD) algorithm based on cepstrum techniques is proposed for passive coherent location (PCL) radar systems. The primary cepstrum techniques are of great success in recognizing the arrival times of static target echoes. To estimate the Doppler frequencies of moving targets, we divide the radar data into a large number of segments, and reformat these segments into a detection matrix. Applying the cepstrum and the Fourier transform to the fast and slow time dimensions respectively, we can obtain the range information and Doppler information of the moving targets. Based on the CEPMTD outlined above, an improved CEPMTD algorithm is proposed to improve the detection performance. Theoretical analyses show that only the target's peak can be coherently added. The performance of the improved CEPMTD is initially validated by simulations, and then by experiments. The simulation results show that the detection performance of the improved CEPMTD algorithm is 13.3 dB better than that of the CEPMTD algorithm and 6.4 dB better than that of the classical detection algorithm based on the radar cross ambiguity function (CAF). The experiment results show that the detection performance of the improved CEPMTD algorithm is 1.63 dB better than that of the radar CAF.

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Standardization of the Definition of the Radar Ambiguity Function

Cited by 23 publications

References 1 publication

Accurate and efficient implementation of the time–frequency matched filter

Accurate and efficient implementation of the time–frequency matched filter

Analysis and side peaks identification of Chinese DTTB signal ambiguity functions for passive radar

Moving target detection in the cepstrum domain for passive coherent location (PCL) radar

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