ROC Performances of Constant False Alarm Coded Anti-collision Radar in Multi-user Environment

Zaidouni, Jamal; Rivenq-Menhaj, Atika; Ghoumid, Kamal; Moussati, Ali El; Deloof, P

doi:10.1007/s10776-015-0282-z

Cited by 2 publications

(5 citation statements)

References 23 publications

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“…In this section, we use the Kasami codes of type 2 which are the best codes that can be used as discussed in [18]. To see the improvement made by averaging, we present, in Figure 7, an example of one realization under hypothesis H 1 (presence of targets) for different values of M with three targets at (k 1 = 100, k 2 = 200, k 3 = 300) and a SN R j = −30 dB (SNR of each target), j = 1, 2, 3.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…We saw in [18] that the ROCs for SN R less than −15 dB are not perfect due to large fluctuation of the output noise with respect to the average of the signal at the decision instant. As discussed previously, the system have a time to estimate the distance.…”

Section: Improving Detection By Averagingmentioning

confidence: 96%

“…Then, by analogy with demonstrations for SCR in [18], we deduce the expressions of P D and P F A for ACR by just replacing N per M N in equations 11, 12, 13 and 14:…”

Section: Improving Detection By Averagingmentioning

confidence: 99%

“…In our previous work [18], we have proposed the analytical expression of detection and false alarm probabilities and validated them by numerical simulations in different situations. Then, the ROCs performances of CFACAR (Constant False Alarm Coded Anti-collision Radar) system had been given and compared in term of used codes.…”

Section: Introductionmentioning

confidence: 99%

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Improving ROCs of Constant False Alarm Coded Anti-collision Radar in Very Noised Cases

Moussati

Zaidouni²,

Menhaj

et al. 2017

International Journal of Electronics and Telecommunications

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Abstract-The use of Constant False Alarm Coded Anticollision Radar (CFACAR) is very interesting in automotive environment. Due to the orthogonality properties of used codes this system is most robust to multi-user interferences. The actual version of the receiver called in this paper Single Correlation Receiver (SCR), is not able to detect the targets in very low input Signal to Noise Ratio (SN R). To resolve this problem, we present a new receiver called Averaging Correlation Receiver (ACR), that computes the average of the M later correlations. Then, we developed the expression of detection and false alarm probabilities for the new receiver in mono and multi-user scenarios. These probabilities are used to plot the new Receiver Operating Characteristics (ROCs). They are drawn for different values of input SN R and length M of ACR. There is a suitable value of M , according to some equation, that can be taken to have a good detection (ROCs more perfect). Also, we found that for a fixed SN R, we must increase sufficiently the length M but it is possible only for low relative velocity of the target. For a velocity of 5 Km/h with M = 1055, we can lessen the value of the SN R until we reach SN R = −45 dB.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Improving Detection By Averagingmentioning

confidence: 96%

“…Then, by analogy with demonstrations for SCR in [18], we deduce the expressions of P D and P F A for ACR by just replacing N per M N in equations 11, 12, 13 and 14:…”

Section: Improving Detection By Averagingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improving ROCs of Constant False Alarm Coded Anti-collision Radar in Very Noised Cases

Moussati

Zaidouni²,

Menhaj

et al. 2017

International Journal of Electronics and Telecommunications

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“…The ROC curves represent the detection probability P D according to the false alarm probability P FA [9]. The parameters controlling the curves are the signal to noise ratio SNR (or standard deviation σ), the synchronization error τ and the threshold position Th.…”

Section: Receiver Operational Characteristics (Roc System)mentioning

confidence: 99%

UWB radar detection theory

Sakkila¹,

Tatkeu²,

Rivenq³

et al. 2021

2020 10th International Symposium on Signal, Image, Video and Communications (ISIVC)

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In this paper, a study of UWB receivers in terms of detection theory is presented. The UWB radar which is presented in many works previously [1] [2] [3] has many applications. For road UWB radar application, the receiver based on correlation is the optimum receiver [4]. In fact, it maximizes the probability of detection. We will consider, in this study, a correlator receiver based on a threshold detection method. As in narrowband [5] [6], we will describe the theoretical study that evaluates the performance of the UWB receiver based on correlation in terms of detection and false alarm probabilities. Then a study of curves showing threshold receiver operating characteristics (ROC system), based on correlation and destined to be used for a UWB radar is presented. The study is original because it is presented for the first time in a UWB radar system.

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ROC Performances of Constant False Alarm Coded Anti-collision Radar in Multi-user Environment

Cited by 2 publications

References 23 publications

Improving ROCs of Constant False Alarm Coded Anti-collision Radar in Very Noised Cases

Improving ROCs of Constant False Alarm Coded Anti-collision Radar in Very Noised Cases

UWB radar detection theory

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