Effect of Element Failures on the Performance of Passive Towed Array Sonars

Joseph, Jojish; Radhakrishnan, Niranjana; Ambat, Sooraj K.

doi:10.1007/s40857-019-00157-2

Cited by 1 publication

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The beampattern of an array is its response in potential interference directions, for a particular steering direction. While the array gain of a large array is relatively insensitive to the failure of sensors in the array, in contrast the array beampattern is severely degraded due to increased side-lobe levels which significantly degrades the DoA estimation performance [ 29 , 40 ].…”

Section: Practical Error Modelsmentioning

confidence: 99%

“…The beampattern of a ULA, with all its sensors functional and powered equally, exhibits a first side-lobe level of

dB relative to its main-lobe level [ 29 , 53 ] and is shown in Figure 2 for a 24-sensor ULA with half-wavelength spacing. With one or more faulty sensors,

becomes a function of the number and positions of the faulty sensors, i.e., an increase in total number of faulty sensors or a reduction in distance between a faulty sensor and the array center causes

to increase from its

dB reference value thereby undesirably increasing the first side-lobe level [ 29 , 40 ]. Figure 3 shows this behavior for the same 24-sensor ULA of Figure 2 but now with six failed sensors located at positions 5, 7, 10, 13, 16, and 20.…”

Section: Practical Error Modelsmentioning

confidence: 99%

“…If the faulty sensor locations are not known then a computationally efficient scheme such as that proposed in [ 40 ] can be used for online detection of failed sensors with good accuracy and a relatively small number of snapshots compared with other failure detection schemes [ 56 , 57 , 58 ]. According to the adopted approach each sensor’s received signal energy is gauged by the signal variance estimated on that channel from several measurement snapshots.…”

Section: Proposed Mode-omp and Mode-somp Algorithms For Joint Model-o...mentioning

confidence: 99%

“…Hence, sensor failures become a practical problem due to corrosion and other harsh conditions in the array’s deployment scenario [ 39 ]. The array’s faulty sensors result in increased sidelobes in the array’s beampattern, which degrades the DoA estimation performance [ 29 , 40 ]. In [ 28 ], an improved CS-based acoustic beamformer was presented for DoA estimation by an array with faulty sensors.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Joint Model-Order and Robust DoA Estimation for Underwater Sensor Arrays

Hamid

Wyne

Butt

2023

Sensors

View full text Add to dashboard Cite

The direction-of-arrival (DoA) estimation algorithms have a fundamental role in target bearing estimation by sensor array systems. Recently, compressive sensing (CS)-based sparse reconstruction techniques have been investigated for DoA estimation due to their superior performance relative to the conventional DoA estimation methods, for a limited number of measurement snapshots. In many underwater deployment scenarios, the acoustic sensor arrays must perform DoA estimation in the presence of several practical problems such as unknown source number, faulty sensors, low values of the received signal-to-noise ratio (SNR), and access to a limited number of measurement snapshots. In the literature, CS-based DoA estimation has been investigated for the individual occurrence of some of these errors but the estimation under joint occurrence of these errors has not been studied. This work investigates the CS-based robust DoA estimation to account for the joint impact of faulty sensors and low SNR conditions experienced by a uniform linear array of underwater acoustic sensors. Most importantly, the proposed CS-based DoA estimation technique does not require a priori knowledge of the source order, which is replaced in the modified stopping criterion of the reconstruction algorithm by taking into account the faulty sensors and the received SNR. Using Monte Carlo techniques, the DoA estimation performance of the proposed method is comprehensively evaluated in relation to other techniques.

show abstract

Section: Practical Error Modelsmentioning

confidence: 99%

“…The beampattern of a ULA, with all its sensors functional and powered equally, exhibits a first side-lobe level of

dB relative to its main-lobe level [ 29 , 53 ] and is shown in Figure 2 for a 24-sensor ULA with half-wavelength spacing. With one or more faulty sensors,

to increase from its

Section: Practical Error Modelsmentioning

confidence: 99%