Summated Singular Vectors Based Passive Bi-static RADAR Detection

Asif, Asma; Kandeepan, Sithamparanathan; Evans, R.J.; Moran, William

doi:10.1109/icicsp48821.2019.8958542

Cited by 1 publication

(3 citation statements)

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“…Here, in this paper, SSVD [ 15 ], a recently proposed detector, has been investigated specifically for the case of fusion systems. SSVD is a RMT inspired detector formulated from singular vectors obtained from the received signal.…”

Section: System Modelingmentioning

confidence: 99%

“…In this paper, we have analyzed Q-out-of-P, AND, and OR cases of hard fusion. Here, we choose SSVD [ 15 ] as a local detector for exploring hard fusion schemes.…”

Section: Hard Fusion Based Detectionmentioning

confidence: 99%

“…Singular vector-based methods have gained quite a popularity in the recent past [ 14 ]. SSVD [ 15 ] is one of the recent contributions, where singular value decomposition (SVD) is used to decompose the received data matrices. The resulting singular vectors are formulated to form a detection test statistics, comprising all the singular vectors obtained from every channel in the system.…”

Section: Introductionmentioning

confidence: 99%

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Cooperative Fusion Based Passive Multistatic Radar Detection

Asif

Kandeepan

2021

Sensors

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Passive multistatic radars have gained a lot of interest in recent years as they offer many benefits contrary to conventional radars. Here in this research, our aim is detection of target in a passive multistatic radar system. The system contains a single transmitter and multiple spatially distributed receivers comprised of both the surveillance and reference antennas. The system consists of two main parts: 1. Local receiver, and 2. Fusion center. Each local receiver detects the signal, processes it, and passes the information to the fusion center for final detection. To take the advantage of spatial diversity, we apply major fusion techniques consisting of hard fusion and soft fusion for the case of multistatic passive radars. Hard fusion techniques are analyzed for the case of different local radar detectors. In terms of soft fusion, a blind technique called equal gain soft fusion technique with random matrix theory-based local detector is analytically and theoretically analyzed under null hypothesis along with the calculation of detection threshold. Furthermore, six novel random matrix theory-based soft fusion techniques are proposed. All the techniques are blind in nature and hence do not require any knowledge of transmitted signal or channel information. Simulation results illustrate that proposed fusion techniques increase detection performance to a reasonable extent compared to other blind fusion techniques.

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Section: System Modelingmentioning

confidence: 99%

“…In this paper, we have analyzed Q-out-of-P, AND, and OR cases of hard fusion. Here, we choose SSVD [ 15 ] as a local detector for exploring hard fusion schemes.…”

Section: Hard Fusion Based Detectionmentioning

confidence: 99%