2021
DOI: 10.1007/978-3-030-77424-0_8
|View full text |Cite
|
Sign up to set email alerts
|

A Real-Time Internal Calibration Method for Radar Systems Using Digital Phase Array Antennas

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
8
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(8 citation statements)
references
References 14 publications
0
8
0
Order By: Relevance
“…From ( 1) and ( 2), DBU P is proportional to the product of N and D in the positive direction. Therefore, since the number of TMs, N, is fixed, DBU P can be reduced by reducing D. However, according to our previous conclusions [9], this contradicts the requirements for measurement time of errors and quality of calibration. The calculation and simulation results in MatLab showed that, if D 1/45 and N 128, the noise power gain DBU dB P    5.8 dB, which is too large for digital beamforming and signal processing.…”
mentioning
confidence: 91%
See 4 more Smart Citations
“…From ( 1) and ( 2), DBU P is proportional to the product of N and D in the positive direction. Therefore, since the number of TMs, N, is fixed, DBU P can be reduced by reducing D. However, according to our previous conclusions [9], this contradicts the requirements for measurement time of errors and quality of calibration. The calculation and simulation results in MatLab showed that, if D 1/45 and N 128, the noise power gain DBU dB P    5.8 dB, which is too large for digital beamforming and signal processing.…”
mentioning
confidence: 91%
“…In [9], we proposed a feasible method for internal calibration of receiving channels. Here, the CalSig structure is a signal that has the same frequency spectrum as the reflected signal, modulated in phase and amplitude according to BPSK and OOK codes and having a peak power equivalent to the internal noise power level of the receiving channel.…”
mentioning
confidence: 99%
See 3 more Smart Citations