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You searched for +publisher:"Delft University of Technology" +contributor:("Mc Cune Jr, Earl"). Showing records 1 – 3 of 3 total matches.

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Delft University of Technology

1. Šabanović, Armin (author). Low-SNR Operation of FSK Demodulators.

Degree: 2019, Delft University of Technology

This thesis introduces the concept of phase rotation cancellation (PRC) as a previously unknown error mechanism in narrow-band FSK systems, and proposes a new FSK demodulation algorithm to resolve PRC errors. Phase rotation cancellation is defined as an event where the signal phasor rotation in the IQ plane is temporarily cancelled by the rotation of quadrature noise. The PRC errors are the dominant error mechanism in narrow-band FSK due to the small dynamic range at the output of a conventional FSK demodulator. In addition, any pre-modulation filtering further reduces the dynamic range and increases the probability for PRC errors to occur. Based on the discovered characteristics of PRC errors, a novel FSK demodulation algorithm is developed that greatly improves detection accuracy in FSK systems. Furthermore, the novel demodulation algorithm allows for sub-datarate receiver bandwidth operation, which offers improved receiver sensitivity and blocker performance. It is shown that the new demodulation algorithm eliminates nearly all PRC errors, leaving only errors due to clicks. In a GFSK system with BT = 0.5 and h = 0.5, an improvement in receiver sensitivity of up to 4.4 dB is achieved with the new demodulation algorithm.

Microelectronics

Advisors/Committee Members: Mc Cune Jr, Earl (mentor), Babaie, Masoud (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: AWGN; Demodulator; FSK; Low-SNR; Receiver; Algorithm; Digital; Wireless Communication; Low-power

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Šabanović, A. (. (2019). Low-SNR Operation of FSK Demodulators. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:98a156a1-3899-4d7c-86cd-dc223b73ab40

Chicago Manual of Style (16th Edition):

Šabanović, Armin (author). “Low-SNR Operation of FSK Demodulators.” 2019. Masters Thesis, Delft University of Technology. Accessed September 22, 2020. http://resolver.tudelft.nl/uuid:98a156a1-3899-4d7c-86cd-dc223b73ab40.

MLA Handbook (7th Edition):

Šabanović, Armin (author). “Low-SNR Operation of FSK Demodulators.” 2019. Web. 22 Sep 2020.

Vancouver:

Šabanović A(. Low-SNR Operation of FSK Demodulators. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Sep 22]. Available from: http://resolver.tudelft.nl/uuid:98a156a1-3899-4d7c-86cd-dc223b73ab40.

Council of Science Editors:

Šabanović A(. Low-SNR Operation of FSK Demodulators. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:98a156a1-3899-4d7c-86cd-dc223b73ab40


Delft University of Technology

2. Torres Di Zeo, Alvaro (author). A Wireless Sensor Network for Machine Dynamics Performance Monitoring.

Degree: 2019, Delft University of Technology

The availability of photolithography machines is key in the semiconductor industry, as downtime generally incurs in immense economic loss. Time to market is also very important for suppliers of photolithography systems, such as ASML. Photolithography machines include numerous measurement systems that are frequently used for qualification and troubleshooting, most of which are required during normal operation. Due to increased costs and complexity, it would not be practical to include dedicated sensors for every machine performance parameter relevant for diagnosis, therefore many parameters regarded as non-critical are not monitored. However, in some cases the information about the behaviour of these parameters can be very valuable to find the root cause of a failure or defect promptly. In these cases, a Wireless Sensor Network (WSN) would allow for a temporary installation of a measurement system to monitor such parameters. This work presents the design of a WSN for monitoring the dynamics performance of the WaferHandler (WH), which is one of the major subsystems of a photolithography machine. The scope of the project includes: • The selection of a radio technology on which the network is based on. • The hardware design of a wireless sensor node for measuring acceleration, based on commercial off-the-shelf (COTS) components. • The identification and firmware implementation of key principles in which the communication protocol should be based on according to the requirements of the application. • The estimation of the power consumption and lifetime of the network. • The design and execution of experiments to assess the reliability of the proposed solution. Among the requirements of the system, the size of the sensor nodes, the network synchronization accuracy, and the maximum power dissipation stand out as the main challenges. As the available space inside the WH is very scarce, the sensor nodes must have a compact form factor to fit in the locations where they are meant to be installed. The reliability of the system is greatly determined by its capacity to remain synchronized with relatively high accuracy during a measurement. This can be difficult to achieve in a harsh environment such as the inside of a machine, where interference and signal fading are expected to recurrently cause the loss of packets used for network synchronization.Packet re-transmission should not be abused to alleviate the problem, as the sensor nodes are required to operate in vacuum and overheating can become a problem. Advisors/Committee Members: Nihtianov, Stoyan (mentor), Fan, Qinwen (graduation committee), Mc Cune Jr, Earl (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: wireless sensor networks; clock synchronization; machine condition monitoring

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Torres Di Zeo, A. (. (2019). A Wireless Sensor Network for Machine Dynamics Performance Monitoring. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ed39f209-1193-4704-a972-01307cb1e478

Chicago Manual of Style (16th Edition):

Torres Di Zeo, Alvaro (author). “A Wireless Sensor Network for Machine Dynamics Performance Monitoring.” 2019. Masters Thesis, Delft University of Technology. Accessed September 22, 2020. http://resolver.tudelft.nl/uuid:ed39f209-1193-4704-a972-01307cb1e478.

MLA Handbook (7th Edition):

Torres Di Zeo, Alvaro (author). “A Wireless Sensor Network for Machine Dynamics Performance Monitoring.” 2019. Web. 22 Sep 2020.

Vancouver:

Torres Di Zeo A(. A Wireless Sensor Network for Machine Dynamics Performance Monitoring. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Sep 22]. Available from: http://resolver.tudelft.nl/uuid:ed39f209-1193-4704-a972-01307cb1e478.

Council of Science Editors:

Torres Di Zeo A(. A Wireless Sensor Network for Machine Dynamics Performance Monitoring. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:ed39f209-1193-4704-a972-01307cb1e478


Delft University of Technology

3. van der Mark, Kevin (author). Blind OFDM Signal Parameter Estimation.

Degree: 2019, Delft University of Technology

OFDM is a common modulation technique applied in the video downlink of drones. In order to eavesdrop on this link, the OFDM signal needs to be demodulated. OFDM demodulators separate orthogonal subcarriers to obtain single carrier signals. This process requires a lot of prior information on the signal parameters. This thesis presents two techniques in obtaining these parameters blindly. The first approach is based on non-filtered channels, exploiting inherent OFDM signal properties. Although not realistic for practical applications it gives insight in the OFDM techniques. The second approach is based on the autocorrelation function, exploiting the correlation between the Cyclic Prefix and the end of an OFDM symbol. This techniques proves more robust to filtering and noise effects, but does introduce a noticeable error margin even present in the low noise simulations. Advisors/Committee Members: Voogt, V (mentor), Janssen, Gerard (graduation committee), Mc Cune Jr, Earl (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: OFDM; Parameter; Estimation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

van der Mark, K. (. (2019). Blind OFDM Signal Parameter Estimation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:8912bf9f-b2d6-47f7-8336-831c5a6caf68

Chicago Manual of Style (16th Edition):

van der Mark, Kevin (author). “Blind OFDM Signal Parameter Estimation.” 2019. Masters Thesis, Delft University of Technology. Accessed September 22, 2020. http://resolver.tudelft.nl/uuid:8912bf9f-b2d6-47f7-8336-831c5a6caf68.

MLA Handbook (7th Edition):

van der Mark, Kevin (author). “Blind OFDM Signal Parameter Estimation.” 2019. Web. 22 Sep 2020.

Vancouver:

van der Mark K(. Blind OFDM Signal Parameter Estimation. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Sep 22]. Available from: http://resolver.tudelft.nl/uuid:8912bf9f-b2d6-47f7-8336-831c5a6caf68.

Council of Science Editors:

van der Mark K(. Blind OFDM Signal Parameter Estimation. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:8912bf9f-b2d6-47f7-8336-831c5a6caf68

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