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Paper Citation Record · LEDGER

Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2501.00472.

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pith.paper-citation-record.v1
2501.00472 v2

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measured 31 of 31 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation 413f1046-0152-421e-888b-4809910ee8d1 · outbound

This paper cites an unresolved cited work.

Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Unresolved cited work

Reference 1

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This paper cites spatial variances.

Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound spatial variances

Reference 2

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Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Unresolved cited work

Reference 3

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This paper cites We focus on the four array geometries depicted in Fig.

Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound We focus on the four array geometries depicted in Fig

Reference 4

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This paper cites Since S is a function of the true angle, an ini- tial estimate of ω would be needed in practice; see [13] for a discussion and examples.

Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Since S is a function of the true angle, an ini- tial estimate of ω would be needed in practice; see [13] for a discussion and examples

Reference 5

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Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Sparsity-enforcing sensor selection for DOA estimation,

Reference 6

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Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Unresolved cited work

Reference 7

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This paper cites MIMO radar for advanced driver-assistance systems and autonomous driving: Advantages and challenges,.

Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound MIMO radar for advanced driver-assistance systems and autonomous driving: Advantages and challenges,

Reference 8

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This paper cites an unresolved cited work.

Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Unresolved cited work

Reference 9

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This paper cites an unresolved cited work.

Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Unresolved cited work

Reference 10

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This paper cites Temporal and spatial sampling influence on the estimates of superimposed narrowband signals: when less can mean more,.

Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Temporal and spatial sampling influence on the estimates of superimposed narrowband signals: when less can mean more,

Reference 11

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This paper cites A note on most fa- vorable array geometries for DOA estimation and array interpolation,.

Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound A note on most fa- vorable array geometries for DOA estimation and array interpolation,

Reference 12

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This paper cites Range compression and waveform optimization for MIMO radar: A Cram´ er–Rao bound based study,.

Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Range compression and waveform optimization for MIMO radar: A Cram´ er–Rao bound based study,

Reference 13

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This paper cites 1(b) with L = 20 shows.

Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound 1(b) with L = 20 shows

Reference 14

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Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Reduced dimen- sion beamspace design incorporating nested array for mmwave channel estimation,

Reference 15

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Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Sensor selection for angle of arrival estima- tion based on the two-target Cram´ er-Rao bound,

Reference 16

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Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Target velocity estimation and an- tenna placement for MIMO radar with widely separated antennas,

Reference 17

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Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Sparse antenna and pulse placement for colocated MIMO radar,

Reference 18

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This paper cites Cognitive anten na selection for automotive radar using Bobrovsky-Zakai bound,.

Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Cognitive anten na selection for automotive radar using Bobrovsky-Zakai bound,

Reference 19

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Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Waveform correlation and optimization issues for MIMO radar,

Reference 20

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Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Radar waveform opti- mization for target parameter estimation in cooperative radar-communications systems,

Reference 21

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Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Op- timal and robust waveform design for MIMO-OFDM channel sensing: A Cram´ er-Rao bound perspective,

Reference 22

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Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Transmit waveform design based on the Cram´ er-Rao lower bound,

Reference 23

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Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Active learn- ing and CSI acquisition for mmWave initial alignment,

Reference 24

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Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound On equal sums of squares,

Reference 25

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Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound 82.7 equal sums of squares,

Reference 26

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Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Target detection and lo - calization using MIMO radars and sonars,

Reference 27

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Observation f2c32660-87dc-46ff-980e-cde3b5ed0b36 · outbound

This paper cites On parameter identifiability of MIMO radar,.

Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound On parameter identifiability of MIMO radar,

Reference 28

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This paper cites MUSIC, maximum likeli- hood, and Cramer-Rao bound,.

Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound MUSIC, maximum likeli- hood, and Cramer-Rao bound,

Reference 29

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Observation a81ba3f8-4ec6-4dc8-8896-29bf8c10c711 · outbound

This paper cites Importance of array redun- dancy pattern in active sensing,.

Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Importance of array redun- dancy pattern in active sensing,

Reference 30

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This paper cites Applica- tion of advanced signal processing techniques to angle of arrival estimation in A TC navigation and surveillance systems,.

Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cram\'er-Rao bound Applica- tion of advanced signal processing techniques to angle of arrival estimation in A TC navigation and surveillance systems,

Reference 31

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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