Wireless channels experience multipath fading which can be modeled by a sparse discrete multi-tap impulse response. Estimating this channel is of crucial importance to allow the receiver to properly recover the transmitted signal. This presentation investigates the issue of allocating the pilots for sparse channel estimation applied to multicarrier systems. When the number of pilots is larger than or equal to the channel maximal length, this issue is well-known and the optimal allocation is equispaced. However for long channels, this would require a very large number of pilots decreasing the throughput of the system. Therefore, compressed sensing (CS) techniques are considered to estimate the sparse channel from a limited number of pilots. In that case, the problem of placing the pilots remains an open issue. This paper proposes a two-step hybrid allocation of the pilots that takes the maximal channel length into account to restrict the frequency candidates. The performance of this allocation is demonstrated through simulations and comparisons with other classical allocations.