Abstract:This paper presents a building block approach to design a reconfigurable discriminator (RD), which is the core circuit in frequency identification receivers. The RD is used to identify an unknown signal; the output of the circuit determines a frequency subband where the unknown signal falls into. The proposed building block design approach is scalable and can be used to produce any multibit RD. This design approach can be used to produce RD circuits with more or less resolution for a fixed band of operation, a… Show more
“…The unknown signal can be identified after it passes through frequency discriminators [6][7][8][9][10]. The signal is identified by a frequency sub-band defined by the circuit, where the unknown signal is allocated [8,10]. The device frequency band of operation is divided in frequency sub-bands; the number of sub-bands used for frequency identification depends on the number of bits of the design.…”
Section: Detecting the Frequency Of The Unknown Signalmentioning
confidence: 99%
“…A four bit RFM circuit is shown in fig. 4, the circuit switches between four frequency discriminators using PIN diode based switches, providing one bit at a time at the output [8]. A two bit RFM circuit is described in [10].…”
Section: B Reconfigurable Frequency Measurement (Rfm)mentioning
confidence: 99%
“…To identify the frequency of the unknown detected signal, the frequency band to be scanned is divided in sub-bands by using frequency discriminators [6][7]. The number of subbands of the system is determined by the number of bits used in the design [8]. This paper describes the circuits required to identify the incoming direction and the frequency of the unknown signal.…”
detection of microwave signals in the battlefield or surveillance zone allows identifying enemy outposts, which may include radar or communications transmitters. This paper describes the techniques required to identify the frequency of unknown detected signals and the estimation of their incoming direction using unmanned aerial vehicles.
“…The unknown signal can be identified after it passes through frequency discriminators [6][7][8][9][10]. The signal is identified by a frequency sub-band defined by the circuit, where the unknown signal is allocated [8,10]. The device frequency band of operation is divided in frequency sub-bands; the number of sub-bands used for frequency identification depends on the number of bits of the design.…”
Section: Detecting the Frequency Of The Unknown Signalmentioning
confidence: 99%
“…A four bit RFM circuit is shown in fig. 4, the circuit switches between four frequency discriminators using PIN diode based switches, providing one bit at a time at the output [8]. A two bit RFM circuit is described in [10].…”
Section: B Reconfigurable Frequency Measurement (Rfm)mentioning
confidence: 99%
“…To identify the frequency of the unknown detected signal, the frequency band to be scanned is divided in sub-bands by using frequency discriminators [6][7]. The number of subbands of the system is determined by the number of bits used in the design [8]. This paper describes the circuits required to identify the incoming direction and the frequency of the unknown signal.…”
detection of microwave signals in the battlefield or surveillance zone allows identifying enemy outposts, which may include radar or communications transmitters. This paper describes the techniques required to identify the frequency of unknown detected signals and the estimation of their incoming direction using unmanned aerial vehicles.
“…Fixed designs have a predefined number of frequency discriminators with an associated resolution and frequency of operation. They can be implemented using delay lines [6][7][8][9][10][11][12][13][14][15][16][17][18][19] using planar or coaxial transmission lines, or filters [20][21][22][23][24][25][26][27][28][29]. Discriminators based on filters and delay lines are designed to produce a frequency response associated with Gray's code, obtained after the ACD stage [30].…”
In this work, microwave frequency measurement (MFM) is reviewed since the early stages using fully analog implementations, including its evolution to analog/digital implementations with high resolutions up to 1 MHz. The review includes fully digital implementations and microwave photonics techniques, with a discussion on achieved devices and the overall field of measuring and identifying unknown signals. MFM plays a crucial role in electronic warfare, communications, and electronic intelligence systems by identifying the frequency of unknown signals. Several microwave planar devices such as interferometers, filters, and frequency selective surfaces have been proposed to design low-cost and low-power digital MFM systems. The planar devices presented here show resolutions from 1 MHz to 940 MHz and operate in the frequency range from 0.15 GHz to 11.5 GHz, having typical bandwidths from 1 GHz to 2 GHz. MFM using microwave photonics techniques involve mapping the microwave signal into the optical spectrum to create a frequency-power function, that uniquely identifies the frequency of the unknown signal, with large bandwidths and immunity to electromagnetic interference.
“…Microwave interference is useful to design microwave devices with filtering properties, such as interferometers for frequency measurement applications [1][2][3][4], wide-band [5,6] and dual-band [7] bandpass filters among others. The core part of these devices is the interferometer section.…”
This paper reviews the application of microwave signal-interference techniques to interferometers for frequency measurement and filters. The microwave interference takes place when the input-signal components pass through two different electrical paths to be then recombined and produce an interference pattern. Path lengths define the interference-based power-transmission maximum and minimum, which are calculated to obtain the desired device frequency response. Reconfigurable interferometers, wide-band, and dual-band filters designed using interference principles are described in this overview paper.
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