Distortion of SSB Transmission Due to AM-PM Conversion

Medhurst, R.G.; Roberts, J. H.; Walsh, W.

doi:10.1109/tcom.1964.1088916

Cited by 9 publications

(3 citation statements)

References 2 publications

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“…Error frequency and final resolved frequency have been calculated by using asymmetric digital algorithm. Better algorithm can calculate output frequency with better accuracy for the same kind of input I and Q waveforms [17,18]. To prove the concept, four modules have been developed and evaluated over temperature (-40 ∘ C to +71 ∘ C).…”

Section: Results Discussionmentioning

confidence: 99%

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Phase nonlinearity reduction of a complex receiver having multiple phase correlators

Sarkar

Raghu

Sivakumar

2023

Int. J. Microw. Wireless Technol.

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This article analyzes and describes phase nonlinearity reduction techniques in detail for ultra wideband complex receivers to qualify airborne system requirements. Phase nonlinearity directly affects the final frequency resolution coming from unknown threats. Thereby, the reduction of phase nonlinearity of all radio frequency (RF) channels including phase correlators is very essential. A simple phase nonlinearity calculation step has been shown in this article without taking the help of any coding (software). A detail excel sheet–based phase nonlinearity calculation has been explained and estimated with examples. Power and phase corrections are especially done to keep the RF response flat over a wide frequency spectrum to enhance better phase linearity. This is done by designing various equalizers with different slope gradients and adjusting power levels by using attenuation pads or reducing feeds by other means. Phase nonlinearity has been kept under control by tracking the phase of mixers, other passive/active components within ±5°, and all the RF channels within ±15°. The power level has been adjusted within P1dB or just beyond the P1dB to keep the harmonic level less, which in turn controls phase nonlinearity in all the active devices. The performance of phase correlators against various power levels has been analyzed to finalize uniform RF and LO power levels (feed) at the input of the phase correlators. The level of uniform feed has been decided after reviewing phase nonlinearity responses of the correlators. Thus, the final resolved frequency become accurate (<3 MHz root mean square). Finally, four receivers have successfully been developed and evaluated over temperature (−40°C to +71°C) and vibration to establish the method for mass production.

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Section: Results Discussionmentioning

confidence: 99%

“…LO generation block further rectifies, equalizes the input power, and makes a fixed output power suitable for phase correlators. Thereby, phase deviation due to AM–PM conversion can be estimated as mentioned in [16, 17]. Let us assume RF in ( t ) incident at the input (P1) of the phase correlator as mentioned in Eq.…”

Section: Phase Nonlinearity Estimationmentioning

confidence: 99%

Phase nonlinearity reduction of a complex receiver having multiple phase correlators

Sarkar

Raghu

Sivakumar

2023

Int. J. Microw. Wireless Technol.

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“…For narrow band applications, the non linear PA behaviour can he described using AMiAM compression and AMIPM conversion characteristics [4]. While AM/AM characterisation is easily obtained via scalar power measurements, AM/PM characterisation is more cumbersome, requiring phase detecting approaches (vector measurements), usually performed by Vector Network Analyser (VNA) [5] or by two-tone tests based on PA model simplifying assumptions [6,7].…”

Section: Introductionmentioning

confidence: 99%

AM/AM and AM/PM power amplifier characterisation technique

Ciccognani

Colantonio

Giannini

et al.

15th International Conference on Microwaves, Radar and Wireless Communications (IEEE Cat. No.04EX824)

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Analytical and Adaptive Modeling of Nonlinear High Power Amplifiers

Ibnkahla

2005

Encyclopedia of RF and Microwave Engineering

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High‐power amplifiers are used in modern communication systems for their high‐power efficiency. However, these amplifiers have generally nonlinear characteristics, leading to signal distortion and adjacent channel interference. We review the most popular analytical models for these nonlinear characteristics. A special focus is given to adaptive models—mainly neural network approaches—which have emerged as efficient tools for the modeling, identification, and characterization of nonlinear amplifiers.

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Distortion of SSB Transmission Due to AM-PM Conversion

Cited by 9 publications

References 2 publications

Phase nonlinearity reduction of a complex receiver having multiple phase correlators

Phase nonlinearity reduction of a complex receiver having multiple phase correlators

AM/AM and AM/PM power amplifier characterisation technique

Analytical and Adaptive Modeling of Nonlinear High Power Amplifiers

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