Higher-Order Implementations of Polyphase-Coded FM Radar Waveforms

Tan, Peng Seng; Jakabosky, John; Stiles, James M.; Blunt, Shannon D.

doi:10.1109/taes.2019.2897032

Cited by 14 publications

(4 citation statements)

References 52 publications

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“…since each term in the denominator is still unity. Further, because (40) corresponds to the particular Q waveforms in a given subset of the larger CPI, the same procedure must be performed over the entire collection of C/Q subsets and the results subsequently averaged to determine the overall mismatch loss for the C waveforms in a CPI.…”

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confidence: 99%

“…The parameterised phase function for the PCFM implementation [23] 3) is the first-order PCFM implementation because it involves a single integration stage. The attributes of higher order PCFM implementations with additional integration stages have also been examined [40], though they will not be considered here. The reader should note, however, that Matlab TM code for the various PCFM implementation orders can be found in the appendix of [40].…”

Section: Fm Waveform Representationmentioning

confidence: 99%

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Complementary frequency modulated radar waveforms and optimised receive processing

Jones

Mohr

McCormick

et al. 2021

IET Radar Sonar & Navi

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Design methodologies are developed for complementary frequency modulated (FM) waveforms and for optimised complementary mismatched filtering (MMF) of arbitrary non-repeating waveforms. The former is a sub-class of random FM waveforms denoted as complementary FM (Comp-FM) while the latter extends a practical instantiation of least-squares mismatched filtering yielding the mismatched complementary-on-receive filtering (MiCRFt) scheme. Both of these approaches have an emphasis on the nonideal physical effects of the radar transmitter and receiver, thereby permitting highfidelity simulation analysis and subsequent experimental demonstration of their efficacy using open-air measurements.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi Ffi mentioning

confidence: 99%

Section: Fm Waveform Representationmentioning

confidence: 99%

Complementary frequency modulated radar waveforms and optimised receive processing

Jones

Mohr

McCormick

et al. 2021

IET Radar Sonar & Navi

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“…The pulse compression techniques reduce the constraints between the range and the resolution determination (Paolo et al , 2012). The pulse compression techniques transmit long and wideband frequency/phase-modulated pulse for improving the range and the resolution of the RADAR (Tan et al , 2019; Ren et al , 2019). Thus, for the high-range applications, the RADAR needs the pulse compression technique with the long-range pulse.…”

Section: Introductionmentioning

confidence: 99%

FHSA: fractional harmony search algorithm for polyphase code design in radar signal processing

Rao¹,

V.²

2022

IJPCC

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Purpose The purpose of this research is to design and develop a technique for polyphase code design for the radar system. Design/methodology/approach The proposed fractional harmony search algorithm (FHSA) performs the polyphase code design. The FHSA binds the properties of the harmony search algorithm and the fractional theory. An optimal fitness function based on the coherence and the autocorrelation is derived through the proposed FHSA. The performance metrics such as power, autocorrelation and cross-correlation measure the efficiency of the algorithm. Findings The performance metrics such as power, autocorrelation and cross-correlation is used to measure the efficiency of the algorithm. The simulation results show that the proposed optimal phase code design with FHSA outperforms the existing models with 1.420859, 4.09E−07, 3.69E−18 and 0.000581 W for the fitness, autocorrelation, cross-correlation and power, respectively. Originality/value The proposed FHSA for the design and development of the polyphase code design is developed for the RADAR is done to reduce the effect of the Doppler shift.

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“…This limits their overall SE and has motivated the development of Continuous Phase Modulation (CPM) techniques to improve upon their spectral characteristics [10], [11]. These CPM techniques transform the PC waveform's instantaneous phase to be continuous in its first few derivatives [12]. This effectively produces a parameterized FM waveform with constant amplitude and high SE.…”

Section: Introductionmentioning

confidence: 99%

Transmit waveform design using Multi-Tone Sinusoidal Frequency Modulation

Hague

2017

2017 IEEE Radar Conference (RadarConf)

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This paper presents a method for generating a family of waveforms with low in-band Auto/Cross-Correlation Function (ACF/CCF) properties using the Multi-Tone Sinusoidal Frequency Modulated (MTSFM) waveform model. The MTSFM waveform's modulation function is represented using a Fourier series expansion. The Fourier coefficients are utilized as a set of discrete parameters that can be modified to optimize the waveform family's properties. The waveforms' ACF/CCF properties are optimized utilizing a multi-objective optimization problem. Each objective function is weighted to place emphasis on either low ACF or CCF sidelobes. The resulting optimized MTSFM waveforms each possess a thumbtack-like Ambiguity Function in addition to the specifically designed ACF/CCF properties. Most importantly, the resulting MTSFM waveform families possess both ideally low Peak-to-Average Power Ratios (PAPR) and high Spectral Efficiency (SE) making them well suited for transmission on practical radar transmitters.

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Higher-Order Implementations of Polyphase-Coded FM Radar Waveforms

Cited by 14 publications

References 52 publications

Complementary frequency modulated radar waveforms and optimised receive processing

Complementary frequency modulated radar waveforms and optimised receive processing

FHSA: fractional harmony search algorithm for polyphase code design in radar signal processing

Transmit waveform design using Multi-Tone Sinusoidal Frequency Modulation

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