Target tracking using particle filtering and CAZAC sequences

Kyriakides, Ioannis; Konstantinidis, I.; Morrell, Darryl; Benedetto, John J.; Papandreou-Suppappola, Antonia

doi:10.1109/wddc.2007.4339445

Cited by 12 publications

(19 citation statements)

References 9 publications

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“…Particle Update: In a particle filter based tracker [3] particles , that have been updated with all measurements up to time step represent all available information on target state. This information in target state is converted into a set of delay-Doppler sets for each sensor using the following process.…”

Section: B Particle Update and Delay-doppler Dictionarymentioning

confidence: 99%

“…A member of this delay-Doppler set is likely to appear in the radar return waveform at sensor according to the hypothesis of particle . The above process is described in more detail in the likelihood PF implementation in [3].…”

Section: B Particle Update and Delay-doppler Dictionarymentioning

confidence: 99%

“…In order to obtain the compressed AF, the compressed waveforms for in (3) are correlated with template compressed waveforms as or (4) In the Nyquist sampling case, in (4) is replaced by a size identity matrix resulting in the well-known Nyquist AF expression [3] (5)…”

Section: B the Compressed Ambiguity Functionmentioning

confidence: 99%

“…1) Björck CAZAC Sequences: The first waveform described is the Björck constant amplitude zero autocorrelation (CAZAC) sequence [3], [24], [25] which is associated with a Nyquist AF with very low sidelobes. This makes the CAZAC an attractive choice as a radar waveform when sensed and processed at the Nyquist rate.…”

Section: Radar Waveforms With Delay-doppler Sparsitymentioning

confidence: 99%

“…Measurements on a fine delay-Doppler grid are obtained when using high-bandwidth waveforms. Measurement localization, on the other hand, depends on the type of the waveform transmitted [1]- [3] and the sensing and processing method used at the receiver [4]. Two types of sensing and processing methods are considered in this work: Nyquist and compressive.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Compressive Sensing and Processing of Delay-Doppler Radar Waveforms

Kyriakides

2012

IEEE Trans. Signal Process.

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Compressive sensing and processing handles high-resolution delay-Doppler radar measurements using a low sampling rate, simple receiver design, and inexpensive processing when Nyquist rate sensing and processing becomes impractical. The benefits of compressive sensing and processing are, however, offset by an increase in estimation error that is introduced when processing compressed measurements versus measurements sampled at the Nyquist rate. In this work, an adaptive compressive sensing and processing method is proposed for the radar tracking problem. The adaptive scheme naturally incorporates information on target state that is readily available from a particle filter based tracker. The proposed method is shown to improve tracking performance over nonadaptive compressive sensing and processing, while maintaining low-sampling rates, a computationally inexpensive operation, and a simple receiver design.Index Terms-Adaptive compressive sensing and processing, particle filtering, radar tracking.

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Section: B Particle Update and Delay-doppler Dictionarymentioning

confidence: 99%

Section: B Particle Update and Delay-doppler Dictionarymentioning

confidence: 99%

Section: B the Compressed Ambiguity Functionmentioning

confidence: 99%

Section: Radar Waveforms With Delay-doppler Sparsitymentioning

confidence: 99%