Very High Resolution Digital Instantaneous Frequency Measurement Receiver

Mahlooji, Soheil; Mohammadi, Karim

doi:10.1109/icsps.2009.43

Cited by 24 publications

(7 citation statements)

References 7 publications

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“…According to (1), (4), (5) and 6, we need to know λ and the measured φ 1,3 and φ 2,4 . λ can be achieved by the instantaneous frequency measurement (DIFM) [12] module in the radio frequency (RF) receiver and φ 1,3 , φ 2,4 obtained by the fast Fourier transform (FFT) or via a phase detector [13] is represented in full bit width (L-bit). As long as they are accurate enough, the DOA estimation accuracy will be maintained.…”

Section: Improved Methods Based On Lut 31 System Architecturementioning

confidence: 99%

An Ultra-fast DOA Estimator with Circular Array Interferometer Using Lookup Table Method

Pan¹,

Zhang²,

Xie³

et al. 2015

RADIOENGINEERING

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The time-consuming phase ambiguity resolution makes the uniform circular array (UCA) interferometer not suitable for real-time direction-of-arrival (DOA) estimation. This paper introduces the lookup table (LUT) method to solve this problem. The key of the method is that we look up the ambiguity numbers instead of the eventual DOA from the table, and then the DOA is obtained by relatively small amount of calculation. This makes it possible that we are able to shrink the table size while maintain the DOA estimation accuracy. The table addresses cover all possible measured phase differences (PDs), which enables the method to be free of spatial scanning. Moreover, without adding frequency index to the lookup table, the estimator can realize wideband application. As an example, a field-programmable gate array (FPGA) based DOA estimator with the estimation time of 180 ns is presented, accompanied by the measured results. This method possesses the advantages of ultra-high speed, high accuracy and low memory usage.

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Section: Improved Methods Based On Lut 31 System Architecturementioning

confidence: 99%

An Ultra-fast DOA Estimator with Circular Array Interferometer Using Lookup Table Method

Pan¹,

Zhang²,

Xie³

et al. 2015

RADIOENGINEERING

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“…The targeting accuracy of frequency discrimination for the DFD correlator is 1.5 MHz, RMS. The frequency accuracy of the typical DFD system including digital processing part is about RMS 2.5 MHz [2]. LDFD unambiguous frequency is 5,120 MHz and HDFD unambiguous frequency is 13,920 MHz.…”

Section: Design Of Phasementioning

confidence: 99%

Digital frequency discriminator(DFD) error improvement by LO leakage compensation

Choi¹,

Jo²,

Park³

et al. 2014

2014 44th European Microwave Conference

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This paper has presented the design of some phase correlators for two digital frequency discriminators (DFDs) of which operation is over the 2.0 to 6.0 GHz, or 6.0 to 18.0 GHz frequency range in electronic warfare system. The accuracy of frequency discrimination according to the isolation of correlator mixer are analyzed, and it is shown that LO-RF isolation has much effect on frequency discrimination error by deriving some analytic equations relating the LO-RF isolation and phase performance. We propose a novel method of phase sector compensation in order to improve frequency discriminating error. The phase error of the designed phase correlator is RMS 4.57° and the frequency accuracy is 0.95 MHz over the 2.0-6.0 GHz. Over the 6.0-18.0 GHz range, the phase error is 4.81°, RMS and discrimination accuracy is 1.49 MHz, RMS.

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“…An earlier generation of electronic support (ES) systems was based on instantaneous frequency measurement (IFM) receiver and pulse measurement using log video. The timedomain technique was used for noise estimation and signal detection 6 and frequency were measured using time-frequency analysis [7][8][9] . But during conversion from radio frequency (RF) or intermediate frequency (IF) to log video, the phase and hence the modulation information is lost.…”

Section: Introductionmentioning

confidence: 99%

FPGA based Identification of Frequency and Phase Modulated Signals by Time Domain Digital Techniques for ELINT Systems

2021

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In this paper, a decision tree algorithm based on time-domain digital technique is developed for the identification and classification of diverse radar intra-pulse modulated signals for the electronic intelligence system in real-time. This includes linear frequency modulation, non-linear frequency modulation, stepped frequency modulation and bi-phase modulation. The received signal is digitised and the instantaneous phase and high accuracy instantaneous frequency are estimated. The instantaneous amplitude is also estimated to get the start and stop of the pulse. Instantaneous parameters are estimated using a moving autocorrelation technique. The proposed algorithm is employed on the instantaneous frequency and the modulation is identified. The modulation type and modulation parameter are important for unique radar identification when similar radars are operating in a dense environment. Simulations are carried out at various SNR conditions and results are presented. The model for algorithm is developed using a system generator and implemented in FPGA. These results are compared when the proposed algorithm is used with the existing digital in-phase and quadrature-phase (DIQ) technique of instantaneous frequency and amplitude estimation.

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Very High Resolution Digital Instantaneous Frequency Measurement Receiver

Cited by 24 publications

References 7 publications

An Ultra-fast DOA Estimator with Circular Array Interferometer Using Lookup Table Method

An Ultra-fast DOA Estimator with Circular Array Interferometer Using Lookup Table Method

Digital frequency discriminator(DFD) error improvement by LO leakage compensation

FPGA based Identification of Frequency and Phase Modulated Signals by Time Domain Digital Techniques for ELINT Systems

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