  One of the main drawbacks of the well-known Direct Position Determination
(DPD) method is the requirement that raw signal data be transferred to a common
processor. It would therefore be of high practical value if DPD$-$or a modified
version thereof$-$could be successfully applied to a coarsely quantized version
of the raw data, thus alleviating the requirements on the communication links
between the different base stations. Motivated by the above, and inspired by
recent work in the rejuvenated one-bit array processing field, we present
One-Bit DPD: a method for direct localization based on one-bit quantized
measurements. We show that despite the coarse quantization, the proposed method
nonetheless yields an estimate for the unknown emitter position with appealing
asymptotic properties. We further establish the underlying identifiability
conditions of this model, which rely only on second-order statistics. Empirical
simulation results corroborate our analytical derivations, demonstrating that
much of the information regarding the unknown emitter position is preserved
under this crude form of quantization.
