human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "target localization accuracy gain in mimo radar based systems"
  Abstract: This paper presents an analysis of target localization accuracy, attainable by the use of multiple-input multiple-output (MIMO) radar systems, configured with multiple transmit and receive sensors, widely distributed over an area. The Cramer-Rao lower bound (CRLB) for target localization accuracy is developed for both coherent and noncoherent processing. Coherent processing requires a common phase reference for all transmit and receive sensors. The CRLB is shown to be inversely proportional to the signal effective bandwidth in the noncoherent case, but is approximately inversely proportional to the carrier frequency in the coherent case. We further prove that optimization over the sensors' positions lowers the CRLB by a factor equal to the product of the number of transmitting and receiving sensors. The best linear unbiased estimator (BLUE) is derived for the MIMO target localization problem. The BLUE's utility is in providing a closed-form localization estimate that facilitates the analysis of the relations between sensors locations, target location, and localization accuracy. Geometric dilution of precision (GDOP) contours are used to map the relative performance accuracy for a given layout of radars over a given geographic area.

Connected through hyperedge HE-1 (induced by source paper "suboptimum low complexity joint multi target detection and localization for noncoherent mimo radar with widely separated antennas"):
  with members:
    - "moving target parameters estimation in noncoherent mimo radar systems"
    - "fundamental limits of wideband localization part ii cooperative networks"
    - "fundamental limits of wideband localization part i a general framework"

Connected through hyperedge HE-2 (induced by source paper "performance limits and geometric properties of array localization"):
  with members:
    - "power optimization for network localization"
    - "resource allocation in mimo radar with multiple targets for non coherent localization"
    - "on the performance limits of map aware localization"
    - "beamforming design for joint localization and data transmission in distributed antenna system"
    - "fundamental limits of wideband localization part ii cooperative networks"
    - "fundamental limits of wideband localization part i a general framework"
    - "distributed sensor localization in random environments using minimal number of anchor nodes"

Connected through hyperedge HE-3 (induced by source paper "performance analysis of target parameters estimation using multiple widely separated antenna arrays"):
  with members:
    - "optimal joint target detection and parameter estimation by mimo radar"
    - "mimo radar using compressive sampling"

Connected through hyperedge HE-4 (induced by source paper "performance limits and geometric properties of narrowband array localization"):
  with members:
    - "fundamental limits of wideband localization part ii cooperative networks"
    - "fundamental limits of wideband localization part i a general framework"

Connected through hyperedge HE-5 (induced by source paper "evaluation of position related information in multipath components for indoor positioning"):
  with members:
    - "fundamental limits of wideband localization part ii cooperative networks"
    - "fundamental limits of wideband localization part i a general framework"

Connected through hyperedge HE-6 (induced by source paper "robust power allocation for energy efficient location aware networks"):
  with members:
    - "performance analysis of heterogeneous feedback design in an ofdma downlink with partial and imperfect feedback"
    - "slow adaptive ofdma systems through chance constrained programming"
    - "fundamental limits of wideband localization part ii cooperative networks"
    - "fundamental limits of wideband localization part i a general framework"
    - "distributed sensor localization in random environments using minimal number of anchor nodes"

Connected through hyperedge HE-7 (induced by source paper "power optimization for network localization"):
  with members:
    - "diland an algorithm for distributed sensor localization with noisy distance measurements"
    - "fundamental limits of wideband localization part ii cooperative networks"
    - "fundamental limits of wideband localization part i a general framework"
    - "energy efficient resource allocation in wireless networks"

Connected through hyperedge HE-8 (induced by source paper "measurement matrix design for compressive sensing based mimo radar"):
  with members:
    - "cssf mimo radar low complexity compressive sensing based mimo radar that uses step frequency"
    - "mimo radar using compressive sampling"
    - "compressive sensing for mimo radar"
    - "performance analysis for sparse support recovery"
    - "distributed mimo radar using compressive sampling"
    - "subspace pursuit for compressive sensing signal reconstruction"
    - "collaborative beamforming for distributed wireless ad hoc sensor networks"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.IT(Information Theory)