Joint Design of Surveillance Radar and MIMO Communication in Cluttered Environments

Autor: Emanuele Grossi, Luca Venturino, Marco Lops
Přispěvatelé: Grossi, E., Lops, M., Venturino, L.
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Signal Processing (eess.SP)
FOS: Computer and information sciences
joint system design
Computer science
Computer Science - Information Theory
MIMO communications
Real-time computing
mutual information
radar-communications convergence
shared spectrum access for radar and communications (SSPARC)
Spectral coexistence
surveillance radars
02 engineering and technology
Degrees of freedom (mechanics)
Communications system
Interference (wave propagation)
law.invention
law
FOS: Electrical engineering
electronic engineering
information engineering

0202 electrical engineering
electronic engineering
information engineering

MIMO communication
Electrical Engineering and Systems Science - Signal Processing
Electrical and Electronic Engineering
Radar
Block (data storage)
Information Theory (cs.IT)
Codebook
020206 networking & telecommunications
Pulse compression
Signal Processing
Secondary surveillance radar
Popis: In this study, we consider a spectrum sharing architecture, wherein a multiple-input multiple-output communication system cooperatively coexists with a surveillance radar. The degrees of freedom for system design are the transmit powers of both systems, the receive linear filters used for pulse compression and interference mitigation at the radar receiver, and the space-time communication codebook. The design criterion is the maximization of the mutual information between the input and output symbols of the communication system, subject to constraints aimed at safeguarding the radar performance. Unlike previous studies, we do not require any time-synchronization between the two systems, and we guarantee the radar performance on all of the range-azimuth cells of the patrolled region under signal-dependent (endogenous) and signal-independent (exogenous) interference. This leads to a non-convex problem, and an approximate solution is thus introduced using a block coordinate ascent method. A thorough analysis is provided to show the merits of the proposed approach and emphasize the inherent tradeoff among the achievable mutual information, the density of scatterers in the environment, and the number of protected radar cells.
Comment: Submitted to IEEE Transaction on Signal Processing on June 24, 2019
Databáze: OpenAIRE