  To prove Fourier restriction estimate using polynomial partitioning, Guth
introduced the concept of $k$-broad part of regular $L^p$ norm and obtained
sharp $k$-broad restriction estimates. To go from $k$-broad estimates to
regular $L^p$ estimates, Guth employed $l^2$ decoupling result. In this
article, similar to the technique introduced by Bourgain-Guth, we establish an
analogue to go from regular $L^p$ norm to its $(m+1)$-broad part, as the error
terms we have the restricted $k$-broad parts ($k=2,\cdots,m$). To analyze the
restricted $k$-broadness, we prove an $l^p$ decoupling result, which can be
applied to handle the error terms and recover Guth's linear restriction
estimates.
