  In this work, we apply the Bayesian approach for the acoustic scattering
problem to reconstruct the shape of a sound-soft obstacle using the
limited-aperture far-field measure data. A novel total variation prior is
assigned to the shape parameterization form. This prior is imposed on the
Fourier coefficients of the parameterized form of the obstacle. Extensive
numerical tests are provided to illustrate the numerical performance.
