Sparse Array Sensor Selection in ISAC with Identifiability Guarantees

This paper investigates array geometry and waveform design for integrated sensing and communications (ISAC) employing sensor selection. We consider ISAC via index modulation, where various subsets of transmit (Tx) sensors are used for both communications and monostatic active sensing. The set of Tx...

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Bibliographic Details
Published in:Conference record - Asilomar Conference on Signals, Systems, & Computers pp. 90 - 94
Main Authors: Rajamaki, Robin, Pal, Piya
Format: Conference Proceeding
Language:English
Published: IEEE 27.10.2024
Subjects:
Geometry
Index modulation
Indexes
Integrated sensing and communication
ISAC
Lower bound
MIMO
Modulation
Radio frequency
Redundancy
Rendering (computer graphics)
Sensor arrays
sensor selection
sparse arrays
Transmitters
waveform design
ISSN:2576-2303
Online Access:Get full text
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Summary:This paper investigates array geometry and waveform design for integrated sensing and communications (ISAC) employing sensor selection. We consider ISAC via index modulation, where various subsets of transmit (Tx) sensors are used for both communications and monostatic active sensing. The set of Tx subarrays make up a codebook, whose cardinality we maximize (for communications) subject to guaranteeing a desired target identifiability (for sensing). To characterize the size of this novel optimal codebook, we derive first upper and lower bounds, which are tight in case of the canonical uniform linear array (ULA) and any nonredundant array. We show that the ULA achieves a large codebook-comparable to the size of the conventional unconstrained case-as satisfying the identifiability constraint only requires including two specific sensors in each Tx subarray (codeword). In contrast, nonredundant arrays, which have the largest identifiability for a given number of physical sensors, only have a single admissible codeword, rendering them ineffectual for communications via sensor selection alone. The results serve as a step towards an analytical understanding of the limits of sensor selection in ISAC and the fundamental trade-offs therein.
ISSN:2576-2303
DOI:10.1109/IEEECONF60004.2024.10942827