  Let $\nu\in M^1([0,\infty[)$ be a fixed probability measure. For each
dimension $p\in\b N$, let $(X_n^p)_{n\ge1}$ be i.i.d. $\b R^p$-valued radial
random variables with radial distribution $\nu$. We derive two central limit
theorems for $ \|X_1^p+...+X_n^p\|_2$ for $n,p\to\infty$ with normal limits.
The first CLT for $n>>p$ follows from known estimates of convergence in the CLT
on $\b R^p$, while the second CLT for $n<<p$ will be a consequence of
asymptotic properties of Bessel convolutions. Both limit theorems are
considered also for $U(p)$-invariant random walks on the space of $p\times q$
matrices instead of $\b R^p$ for $p\to\infty$ and fixed dimension $q$.
